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Spatial-Separated Curve Rendering Network for Efficient and High-Resolution Image Harmonization | 11 | eccv | 5 | 1 | 2023-06-17 00:57:45.245000 | https://github.com/stefanleong/s2crnet | 26 | Spatial-separated curve rendering network for efficient and high-resolution image harmonization | https://scholar.google.com/scholar?cluster=17690796992400113153&hl=en&as_sdt=0,5 | 6 | 2,022 |
CADyQ: Content-Aware Dynamic Quantization for Image Super-Resolution | 8 | eccv | 4 | 1 | 2023-06-17 00:57:45.445000 | https://github.com/cheeun/cadyq | 42 | CADyQ: Content-Aware Dynamic Quantization for Image Super-Resolution | https://scholar.google.com/scholar?cluster=17622423999253475066&hl=en&as_sdt=0,5 | 1 | 2,022 |
Deep Semantic Statistics Matching (D2SM) Denoising Network | 3 | eccv | 1 | 2 | 2023-06-17 00:57:45.647000 | https://github.com/MKFMIKU/D2SM | 23 | Deep Semantic Statistics Matching (D2SM) Denoising Network | https://scholar.google.com/scholar?cluster=10217193837802599419&hl=en&as_sdt=0,41 | 1 | 2,022 |
Exposure-Aware Dynamic Weighted Learning for Single-Shot HDR Imaging | 1 | eccv | 3 | 1 | 2023-06-17 00:57:45.847000 | https://github.com/viengiaan/EDWL | 6 | Exposure-Aware Dynamic Weighted Learning for Single-Shot HDR Imaging | https://scholar.google.com/scholar?cluster=5411080517450189974&hl=en&as_sdt=0,10 | 2 | 2,022 |
Realistic Blur Synthesis for Learning Image Deblurring | 8 | eccv | 6 | 1 | 2023-06-17 00:57:46.048000 | https://github.com/rimchang/Rsblur | 43 | Realistic blur synthesis for learning image deblurring | https://scholar.google.com/scholar?cluster=12876470121987800419&hl=en&as_sdt=0,6 | 1 | 2,022 |
Benchmarking Omni-Vision Representation through the Lens of Visual Realms | 4 | eccv | 7 | 1 | 2023-06-17 00:57:46.250000 | https://github.com/ZhangYuanhan-AI/OmniBenchmark | 104 | Benchmarking omni-vision representation through the lens of visual realms | https://scholar.google.com/scholar?cluster=7208385789322575994&hl=en&as_sdt=0,38 | 6 | 2,022 |
BEAT: A Large-Scale Semantic and Emotional Multi-modal Dataset for Conversational Gestures Synthesis | 12 | eccv | 127 | 26 | 2023-06-17 00:57:46.451000 | https://github.com/PantoMatrix/BEAT | 596 | BEAT: A Large-Scale Semantic and Emotional Multi-Modal Dataset for Conversational Gestures Synthesis | https://scholar.google.com/scholar?cluster=7260513717871606239&hl=en&as_sdt=0,5 | 46 | 2,022 |
Neuromorphic Data Augmentation for Training Spiking Neural Networks | 25 | eccv | 2 | 0 | 2023-06-17 00:57:46.651000 | https://github.com/intelligent-computing-lab-yale/nda_snn | 13 | Neuromorphic data augmentation for training spiking neural networks | https://scholar.google.com/scholar?cluster=4978357844166499503&hl=en&as_sdt=0,3 | 4 | 2,022 |
CelebV-HQ: A Large-Scale Video Facial Attributes Dataset | 16 | eccv | 21 | 11 | 2023-06-17 00:57:46.852000 | https://github.com/celebv-hq/celebv-hq | 267 | CelebV-HQ: A large-scale video facial attributes dataset | https://scholar.google.com/scholar?cluster=1631605286635488568&hl=en&as_sdt=0,5 | 17 | 2,022 |
MovieCuts: A New Dataset and Benchmark for Cut Type Recognition | 15 | eccv | 2 | 0 | 2023-06-17 00:57:47.053000 | https://github.com/pardoalejo/moviecuts | 12 | Moviecuts: A new dataset and benchmark for cut type recognition | https://scholar.google.com/scholar?cluster=16344891051014087091&hl=en&as_sdt=0,14 | 3 | 2,022 |
Not Just Streaks: Towards Ground Truth for Single Image Deraining | 10 | eccv | 6 | 0 | 2023-06-17 00:57:47.255000 | https://github.com/UCLA-VMG/GT-RAIN | 16 | Not Just Streaks: Towards Ground Truth for Single Image Deraining | https://scholar.google.com/scholar?cluster=8128851603071658784&hl=en&as_sdt=0,5 | 0 | 2,022 |
ECCV Caption: Correcting False Negatives by Collecting Machine-and-Human-Verified Image-Caption Associations for MS-COCO | 13 | eccv | 2 | 1 | 2023-06-17 00:57:47.455000 | https://github.com/naver-ai/eccv-caption | 45 | Eccv caption: Correcting false negatives by collecting machine-and-human-verified image-caption associations for ms-coco | https://scholar.google.com/scholar?cluster=11262981520406596194&hl=en&as_sdt=0,33 | 2 | 2,022 |
How to Synthesize a Large-Scale and Trainable Micro-Expression Dataset? | 1 | eccv | 1 | 0 | 2023-06-17 00:57:47.656000 | https://github.com/liuyvchi/mie-x | 8 | How to Synthesize a Large-Scale and Trainable Micro-Expression Dataset? | https://scholar.google.com/scholar?cluster=2920512126325696294&hl=en&as_sdt=0,44 | 1 | 2,022 |
REALY: Rethinking the Evaluation of 3D Face Reconstruction | 6 | eccv | 15 | 4 | 2023-06-17 00:57:47.858000 | https://github.com/czh-98/REALY | 164 | REALY: Rethinking the Evaluation of 3D Face Reconstruction | https://scholar.google.com/scholar?cluster=522284677847327970&hl=en&as_sdt=0,1 | 9 | 2,022 |
A-OKVQA: A Benchmark for Visual Question Answering Using World Knowledge | 29 | eccv | 4 | 1 | 2023-06-17 00:57:48.065000 | https://github.com/allenai/aokvqa | 27 | A-okvqa: A benchmark for visual question answering using world knowledge | https://scholar.google.com/scholar?cluster=5632700317047117021&hl=en&as_sdt=0,33 | 4 | 2,022 |
The Anatomy of Video Editing: A Dataset and Benchmark Suite for AI-Assisted Video Editing | 4 | eccv | 1 | 1 | 2023-06-17 00:57:48.273000 | https://github.com/dawitmureja/ave | 19 | The anatomy of video editing: A dataset and benchmark suite for ai-assisted video editing | https://scholar.google.com/scholar?cluster=15734096510585924526&hl=en&as_sdt=0,31 | 2 | 2,022 |
FS-COCO: Towards Understanding of Freehand Sketches of Common Objects in Context | 14 | eccv | 3 | 4 | 2023-06-17 00:57:48.475000 | https://github.com/pinakinathc/fscoco | 11 | FS-COCO: towards understanding of freehand sketches of common objects in context | https://scholar.google.com/scholar?cluster=12913917313302878483&hl=en&as_sdt=0,33 | 2 | 2,022 |
Exploring Fine-Grained Audiovisual Categorization with the SSW60 Dataset | 3 | eccv | 2 | 1 | 2023-06-17 00:57:48.676000 | https://github.com/visipedia/ssw60 | 11 | Exploring Fine-Grained Audiovisual Categorization with the SSW60 Dataset | https://scholar.google.com/scholar?cluster=11318172812364510822&hl=en&as_sdt=0,47 | 7 | 2,022 |
The Caltech Fish Counting Dataset: A Benchmark for Multiple-Object Tracking and Counting | 3 | eccv | 6 | 0 | 2023-06-17 00:57:48.878000 | https://github.com/visipedia/caltech-fish-counting | 21 | The Caltech Fish Counting Dataset: A Benchmark for Multiple-Object Tracking and Counting | https://scholar.google.com/scholar?cluster=2552219111490923370&hl=en&as_sdt=0,31 | 5 | 2,022 |
A Dataset for Interactive Vision-Language Navigation with Unknown Command Feasibility | 8 | eccv | 3 | 1 | 2023-06-17 00:57:49.080000 | https://github.com/aburns4/MoTIF | 24 | A Dataset for Interactive Vision-Language Navigation with Unknown Command Feasibility | https://scholar.google.com/scholar?cluster=7400246580397663222&hl=en&as_sdt=0,47 | 1 | 2,022 |
BRACE: The Breakdancing Competition Dataset for Dance Motion Synthesis | 1 | eccv | 4 | 1 | 2023-06-17 00:57:49.293000 | https://github.com/dmoltisanti/brace | 60 | BRACE: The Breakdancing Competition Dataset for Dance Motion Synthesis | https://scholar.google.com/scholar?cluster=9212492746103555729&hl=en&as_sdt=0,3 | 3 | 2,022 |
Dress Code: High-Resolution Multi-Category Virtual Try-On | 9 | eccv | 18 | 5 | 2023-06-17 00:57:49.494000 | https://github.com/aimagelab/dress-code | 210 | Dress Code: High-Resolution Multi-Category Virtual Try-On | https://scholar.google.com/scholar?cluster=7454515160743762050&hl=en&as_sdt=0,5 | 15 | 2,022 |
A Data-Centric Approach for Improving Ambiguous Labels with Combined Semi-Supervised Classification and Clustering | 2 | eccv | 0 | 0 | 2023-06-17 00:57:49.698000 | https://github.com/emprime/dc3 | 2 | A data-centric approach for improving ambiguous labels with combined semi-supervised classification and clustering | https://scholar.google.com/scholar?cluster=16780375661347906000&hl=en&as_sdt=0,5 | 0 | 2,022 |
ClearPose: Large-Scale Transparent Object Dataset and Benchmark | 6 | eccv | 4 | 0 | 2023-06-17 00:57:49.900000 | https://github.com/opipari/clearpose | 20 | Clearpose: Large-scale transparent object dataset and benchmark | https://scholar.google.com/scholar?cluster=4905831487375014650&hl=en&as_sdt=0,44 | 2 | 2,022 |
When Deep Classifiers Agree: Analyzing Correlations between Learning Order and Image Statistics | 6 | eccv | 0 | 0 | 2023-06-17 00:57:50.121000 | https://github.com/ccc-frankfurt/intrinsic_ordering_nn_training | 6 | When deep classifiers agree: Analyzing correlations between learning order and image statistics | https://scholar.google.com/scholar?cluster=11354728863770927806&hl=en&as_sdt=0,22 | 2 | 2,022 |
AnimeCeleb: Large-Scale Animation CelebHeads Dataset for Head Reenactment | 1 | eccv | 3 | 0 | 2023-06-17 00:57:50.322000 | https://github.com/kangyeolk/animeceleb | 81 | AnimeCeleb: Large-Scale Animation CelebHeads Dataset for Head Reenactment | https://scholar.google.com/scholar?cluster=7350859631265970781&hl=en&as_sdt=0,31 | 8 | 2,022 |
MUGEN: A Playground for Video-Audio-Text Multimodal Understanding and GENeration | 10 | eccv | 1 | 0 | 2023-06-17 00:57:50.524000 | https://github.com/mugen-org/MUGEN_baseline | 33 | Mugen: A playground for video-audio-text multimodal understanding and generation | https://scholar.google.com/scholar?cluster=3281106057994369191&hl=en&as_sdt=0,5 | 3 | 2,022 |
A Dense Material Segmentation Dataset for Indoor and Outdoor Scene Parsing | 1 | eccv | 13 | 0 | 2023-06-17 00:57:50.725000 | https://github.com/apple/ml-dms-dataset | 31 | A Dense Material Segmentation Dataset for Indoor and Outdoor Scene Parsing | https://scholar.google.com/scholar?cluster=3365791015627837272&hl=en&as_sdt=0,1 | 7 | 2,022 |
D2-TPred: Discontinuous Dependency for Trajectory Prediction under Traffic Lights | 2 | eccv | 1 | 0 | 2023-06-17 00:57:50.929000 | https://github.com/vtp-tl/d2-tpred | 9 | D2-TPred: Discontinuous Dependency for Trajectory Prediction Under Traffic Lights | https://scholar.google.com/scholar?cluster=17332870224184443677&hl=en&as_sdt=0,31 | 1 | 2,022 |
TRoVE: Transforming Road Scene Datasets into Photorealistic Virtual Environments | 1 | eccv | 2 | 0 | 2023-06-17 00:57:51.130000 | https://github.com/shubham1810/trove_toolkit | 9 | TRoVE: Transforming Road Scene Datasets into Photorealistic Virtual Environments | https://scholar.google.com/scholar?cluster=15126258770510875217&hl=en&as_sdt=0,5 | 2 | 2,022 |
Graph R-CNN: Towards Accurate 3D Object Detection with Semantic-Decorated Local Graph | 24 | eccv | 10 | 0 | 2023-06-17 00:57:51.330000 | https://github.com/nightmare-n/graphrcnn | 108 | Graph R-CNN: Towards Accurate 3D Object Detection with Semantic-Decorated Local Graph | https://scholar.google.com/scholar?cluster=15876090926063291773&hl=en&as_sdt=0,33 | 6 | 2,022 |
MPPNet: Multi-Frame Feature Intertwining with Proxy Points for 3D Temporal Object Detection | 24 | eccv | 1,118 | 45 | 2023-06-17 00:57:51.532000 | https://github.com/open-mmlab/OpenPCDet | 3,652 | MPPNet: Multi-Frame Feature Intertwining with Proxy Points for 3D Temporal Object Detection | https://scholar.google.com/scholar?cluster=9939036585508006363&hl=en&as_sdt=0,31 | 73 | 2,022 |
Long-Tail Detection with Effective Class-Margins | 2 | eccv | 6 | 1 | 2023-06-17 00:57:51.732000 | https://github.com/janghyuncho/ecm-loss | 56 | Long-tail detection with effective class-margins | https://scholar.google.com/scholar?cluster=11001163024932915751&hl=en&as_sdt=0,22 | 3 | 2,022 |
PTSEFormer: Progressive Temporal-Spatial Enhanced TransFormer towards Video Object Detection | 7 | eccv | 7 | 4 | 2023-06-17 00:57:51.933000 | https://github.com/hon-wong/ptseformer | 16 | PTSEFormer: Progressive Temporal-Spatial Enhanced TransFormer Towards Video Object Detection | https://scholar.google.com/scholar?cluster=13506042649050803522&hl=en&as_sdt=0,44 | 2 | 2,022 |
BEVFormer: Learning Bird's-Eye-View Representation from Multi-Camera Images via Spatiotemporal Transformers | 211 | eccv | 1 | 1 | 2023-06-17 00:57:52.135000 | https://github.com/zhiqi-li/BEVFormer | 6 | Bevformer: Learning bird's-eye-view representation from multi-camera images via spatiotemporal transformers | https://scholar.google.com/scholar?cluster=5447961710166142858&hl=en&as_sdt=0,10 | 2 | 2,022 |
Category-Level 6D Object Pose and Size Estimation Using Self-Supervised Deep Prior Deformation Networks | 8 | eccv | 4 | 3 | 2023-06-17 00:57:52.335000 | https://github.com/jiehonglin/self-dpdn | 33 | Category-level 6D object pose and size estimation using self-supervised deep prior deformation networks | https://scholar.google.com/scholar?cluster=11147746604570298398&hl=en&as_sdt=0,44 | 3 | 2,022 |
Dense Teacher: Dense Pseudo-Labels for Semi-Supervised Object Detection | 21 | eccv | 12 | 12 | 2023-06-17 00:57:52.536000 | https://github.com/megvii-basedetection/denseteacher | 100 | Dense teacher: Dense pseudo-labels for semi-supervised object detection | https://scholar.google.com/scholar?cluster=17675636447045263550&hl=en&as_sdt=0,5 | 4 | 2,022 |
Point-to-Box Network for Accurate Object Detection via Single Point Supervision | 3 | eccv | 8 | 2 | 2023-06-17 00:57:52.738000 | https://github.com/ucas-vg/p2bnet | 57 | Point-to-Box Network for Accurate Object Detection via Single Point Supervision | https://scholar.google.com/scholar?cluster=13593904962102464183&hl=en&as_sdt=0,33 | 1 | 2,022 |
Open-Vocabulary DETR with Conditional Matching | 30 | eccv | 12 | 14 | 2023-06-17 00:57:52.939000 | https://github.com/yuhangzang/ov-detr | 164 | Open-vocabulary detr with conditional matching | https://scholar.google.com/scholar?cluster=9203701250519937347&hl=en&as_sdt=0,5 | 6 | 2,022 |
Prediction-Guided Distillation for Dense Object Detection | 8 | eccv | 10 | 2 | 2023-06-17 00:57:53.140000 | https://github.com/chenhongyiyang/pgd | 60 | Prediction-guided distillation for dense object detection | https://scholar.google.com/scholar?cluster=9677628548632218298&hl=en&as_sdt=0,11 | 1 | 2,022 |
Multimodal Object Detection via Probabilistic Ensembling | 13 | eccv | 12 | 9 | 2023-06-17 00:57:53.341000 | https://github.com/Jamie725/RGBT-detection | 79 | Multimodal object detection via probabilistic ensembling | https://scholar.google.com/scholar?cluster=2423878409061892272&hl=en&as_sdt=0,5 | 2 | 2,022 |
Exploiting Unlabeled Data with Vision and Language Models for Object Detection | 17 | eccv | 5 | 3 | 2023-06-17 00:57:53.542000 | https://github.com/xiaofeng94/vl-plm | 68 | Exploiting unlabeled data with vision and language models for object detection | https://scholar.google.com/scholar?cluster=2792832346656785372&hl=en&as_sdt=0,22 | 3 | 2,022 |
INT: Towards Infinite-Frames 3D Detection with an Efficient Framework | 6 | eccv | 0 | 0 | 2023-06-17 00:57:53.743000 | https://github.com/ADLab-AutoDrive/INT | 29 | INT: Towards Infinite-Frames 3D Detection with an Efficient Framework | https://scholar.google.com/scholar?cluster=15766447330986922378&hl=en&as_sdt=0,44 | 5 | 2,022 |
Unsupervised Domain Adaptation for Monocular 3D Object Detection via Self-Training | 9 | eccv | 0 | 1 | 2023-06-17 00:57:53.945000 | https://github.com/zhyever/stmono3d | 22 | Unsupervised domain adaptation for monocular 3d object detection via self-training | https://scholar.google.com/scholar?cluster=18046147719056980644&hl=en&as_sdt=0,5 | 10 | 2,022 |
SuperLine3D: Self-Supervised Line Segmentation and Description for LiDAR Point Cloud | 2 | eccv | 4 | 5 | 2023-06-17 00:57:54.145000 | https://github.com/zxrzju/superline3d | 132 | SuperLine3D: Self-supervised Line Segmentation and Description for LiDAR Point Cloud | https://scholar.google.com/scholar?cluster=1892879897103098418&hl=en&as_sdt=0,36 | 2 | 2,022 |
Adversarially-Aware Robust Object Detector | 4 | eccv | 10 | 7 | 2023-06-17 00:57:54.345000 | https://github.com/7eu7d7/robustdet | 41 | Adversarially-aware robust object detector | https://scholar.google.com/scholar?cluster=9399655475680081198&hl=en&as_sdt=0,15 | 2 | 2,022 |
HEAD: HEtero-Assists Distillation for Heterogeneous Object Detectors | 4 | eccv | 0 | 2 | 2023-06-17 00:57:54.545000 | https://github.com/lutingwang/head | 11 | Head: Hetero-assists distillation for heterogeneous object detectors | https://scholar.google.com/scholar?cluster=9132276678803270854&hl=en&as_sdt=0,5 | 2 | 2,022 |
You Should Look at All Objects | 4 | eccv | 2 | 8 | 2023-06-17 00:57:54.746000 | https://github.com/charlespikachu/yslao | 71 | You Should Look at All Objects | https://scholar.google.com/scholar?cluster=7436725887660345544&hl=en&as_sdt=0,47 | 7 | 2,022 |
Detecting Twenty-Thousand Classes Using Image-Level Supervision | 141 | eccv | 155 | 49 | 2023-06-17 00:57:54.948000 | https://github.com/facebookresearch/Detic | 1,466 | Detecting twenty-thousand classes using image-level supervision | https://scholar.google.com/scholar?cluster=2641915666092458000&hl=en&as_sdt=0,5 | 18 | 2,022 |
DCL-Net: Deep Correspondence Learning Network for 6D Pose Estimation | 1 | eccv | 1 | 1 | 2023-06-17 00:57:55.149000 | https://github.com/gorilla-lab-scut/dcl-net | 15 | DCL-Net: Deep Correspondence Learning Network for 6D Pose Estimation | https://scholar.google.com/scholar?cluster=15281342953378875281&hl=en&as_sdt=0,10 | 2 | 2,022 |
Monocular 3D Object Detection with Depth from Motion | 24 | eccv | 22 | 5 | 2023-06-17 00:57:55.350000 | https://github.com/tai-wang/depth-from-motion | 264 | Monocular 3d object detection with depth from motion | https://scholar.google.com/scholar?cluster=6486278392250669413&hl=en&as_sdt=0,6 | 10 | 2,022 |
DISP6D: Disentangled Implicit Shape and Pose Learning for Scalable 6D Pose Estimation | 4 | eccv | 1 | 1 | 2023-06-17 00:57:55.550000 | https://github.com/fylwen/disp-6d | 30 | Disentangled implicit shape and pose learning for scalable 6D pose estimation | https://scholar.google.com/scholar?cluster=3070155732865444276&hl=en&as_sdt=0,5 | 3 | 2,022 |
Distilling Object Detectors with Global Knowledge | 2 | eccv | 0 | 2 | 2023-06-17 00:57:55.752000 | https://github.com/hikvision-research/davar-lab-ml | 4 | Distilling Object Detectors with Global Knowledge | https://scholar.google.com/scholar?cluster=8385771225908193375&hl=en&as_sdt=0,44 | 2 | 2,022 |
Unifying Visual Perception by Dispersible Points Learning | 2 | eccv | 2 | 0 | 2023-06-17 00:57:55.952000 | https://github.com/sense-x/unihead | 45 | Unifying Visual Perception by Dispersible Points Learning | https://scholar.google.com/scholar?cluster=9623652872686078493&hl=en&as_sdt=0,5 | 1 | 2,022 |
PseCo: Pseudo Labeling and Consistency Training for Semi-Supervised Object Detection | 25 | eccv | 16 | 15 | 2023-06-17 00:57:56.153000 | https://github.com/ligang-cs/PseCo | 116 | Pseco: Pseudo labeling and consistency training for semi-supervised object detection | https://scholar.google.com/scholar?cluster=10966123175723115004&hl=en&as_sdt=0,43 | 3 | 2,022 |
Exploring Resolution and Degradation Clues As Self-Supervised Signal for Low Quality Object Detection | 1 | eccv | 3 | 2 | 2023-06-17 00:57:56.354000 | https://github.com/cuiziteng/eccv_aeris | 41 | Exploring Resolution and Degradation Clues as Self-supervised Signal for Low Quality Object Detection | https://scholar.google.com/scholar?cluster=5037952713251039767&hl=en&as_sdt=0,32 | 2 | 2,022 |
Robust Category-Level 6D Pose Estimation with Coarse-to-Fine Rendering of Neural Features | 4 | eccv | 1 | 1 | 2023-06-17 00:57:56.554000 | https://github.com/wufeim/6d_pose_eccv22 | 0 | Robust Category-Level 6D Pose Estimation with Coarse-to-Fine Rendering of Neural Features | https://scholar.google.com/scholar?cluster=4840476718849025600&hl=en&as_sdt=0,5 | 1 | 2,022 |
RFLA: Gaussian Receptive Field Based Label Assignment for Tiny Object Detection | 15 | eccv | 13 | 21 | 2023-06-17 00:57:56.755000 | https://github.com/chasel-tsui/mmdet-rfla | 159 | RFLA: Gaussian receptive field based label assignment for tiny object detection | https://scholar.google.com/scholar?cluster=16490222600712608071&hl=en&as_sdt=0,3 | 1 | 2,022 |
Rethinking IoU-Based Optimization for Single-Stage 3D Object Detection | 7 | eccv | 12 | 20 | 2023-06-17 00:57:56.957000 | https://github.com/hlsheng1/rdiou | 105 | Rethinking IoU-based Optimization for Single-stage 3D Object Detection | https://scholar.google.com/scholar?cluster=6927002374951805343&hl=en&as_sdt=0,5 | 6 | 2,022 |
Multi-faceted Distillation of Base-Novel Commonality for Few-Shot Object Detection | 4 | eccv | 2 | 4 | 2023-06-17 00:57:57.157000 | https://github.com/wushuang1998/mfdc | 15 | Multi-faceted Distillation of Base-Novel Commonality for Few-Shot Object Detection | https://scholar.google.com/scholar?cluster=16573983045210502732&hl=en&as_sdt=0,33 | 1 | 2,022 |
PointCLM: A Contrastive Learning-Based Framework for Multi-Instance Point Cloud Registration | 0 | eccv | 0 | 2 | 2023-06-17 00:57:57.359000 | https://github.com/phdymz/pointclm | 12 | PointCLM: A Contrastive Learning-based Framework for Multi-instance Point Cloud Registration | https://scholar.google.com/scholar?cluster=14365361997663714453&hl=en&as_sdt=0,5 | 2 | 2,022 |
Weakly Supervised Object Localization via Transformer with Implicit Spatial Calibration | 7 | eccv | 7 | 6 | 2023-06-17 00:57:57.562000 | https://github.com/164140757/scm | 24 | Weakly supervised object localization via transformer with implicit spatial calibration | https://scholar.google.com/scholar?cluster=10897332842178251748&hl=en&as_sdt=0,10 | 1 | 2,022 |
DEVIANT: Depth EquiVarIAnt NeTwork for Monocular 3D Object Detection | 16 | eccv | 25 | 1 | 2023-06-17 00:57:57.764000 | https://github.com/abhi1kumar/deviant | 156 | Deviant: Depth equivariant network for monocular 3d object detection | https://scholar.google.com/scholar?cluster=5363090072196311219&hl=en&as_sdt=0,23 | 4 | 2,022 |
Label-Guided Auxiliary Training Improves 3D Object Detector | 4 | eccv | 0 | 0 | 2023-06-17 00:57:57.965000 | https://github.com/fabiencode/lg3d | 7 | Label-guided auxiliary training improves 3d object detector | https://scholar.google.com/scholar?cluster=16014327819135887195&hl=en&as_sdt=0,14 | 3 | 2,022 |
PromptDet: Towards Open-Vocabulary Detection Using Uncurated Images | 18 | eccv | 6 | 7 | 2023-06-17 00:57:58.167000 | https://github.com/fcjian/PromptDet | 128 | Promptdet: Towards open-vocabulary detection using uncurated images | https://scholar.google.com/scholar?cluster=11282569843876232296&hl=en&as_sdt=0,49 | 2 | 2,022 |
Densely Constrained Depth Estimator for Monocular 3D Object Detection | 8 | eccv | 3 | 1 | 2023-06-17 00:57:58.369000 | https://github.com/bravegroup/dcd | 45 | Densely Constrained Depth Estimator for Monocular 3D Object Detection | https://scholar.google.com/scholar?cluster=17925631653392765663&hl=en&as_sdt=0,25 | 3 | 2,022 |
DFNet: Enhance Absolute Pose Regression with Direct Feature Matching | 10 | eccv | 6 | 2 | 2023-06-17 00:57:58.578000 | https://github.com/activevisionlab/dfnet | 69 | Dfnet: Enhance absolute pose regression with direct feature matching | https://scholar.google.com/scholar?cluster=18094200173009161158&hl=en&as_sdt=0,32 | 4 | 2,022 |
PillarNet: Real-Time and High-Performance Pillar-Based 3D Object Detection | 20 | eccv | 14 | 8 | 2023-06-17 00:57:58.794000 | https://github.com/agent-sgs/pillarnet | 168 | Pillarnet: Real-time and high-performance pillar-based 3d object detection | https://scholar.google.com/scholar?cluster=4019899772206366950&hl=en&as_sdt=0,34 | 6 | 2,022 |
Robust Object Detection with Inaccurate Bounding Boxes | 3 | eccv | 2 | 2 | 2023-06-17 00:57:58.995000 | https://github.com/cxliu0/oa-mil | 29 | Robust Object Detection with Inaccurate Bounding Boxes | https://scholar.google.com/scholar?cluster=2089679862624247517&hl=en&as_sdt=0,29 | 5 | 2,022 |
Efficient Decoder-Free Object Detection with Transformers | 5 | eccv | 5 | 6 | 2023-06-17 00:57:59.197000 | https://github.com/Pealing/DFFT | 71 | Efficient decoder-free object detection with transformers | https://scholar.google.com/scholar?cluster=5278530239378148719&hl=en&as_sdt=0,6 | 3 | 2,022 |
Cross-Modality Knowledge Distillation Network for Monocular 3D Object Detection | 12 | eccv | 5 | 21 | 2023-06-17 00:57:59.398000 | https://github.com/Cc-Hy/CMKD | 74 | Cross-Modality Knowledge Distillation Network for Monocular 3D Object Detection | https://scholar.google.com/scholar?cluster=2476059482864363015&hl=en&as_sdt=0,5 | 4 | 2,022 |
ReAct: Temporal Action Detection with Relational Queries | 10 | eccv | 3 | 1 | 2023-06-17 00:57:59.600000 | https://github.com/sssste/react | 36 | React: Temporal action detection with relational queries | https://scholar.google.com/scholar?cluster=5904831039961991188&hl=en&as_sdt=0,3 | 0 | 2,022 |
Towards Accurate Active Camera Localization | 1 | eccv | 7 | 0 | 2023-06-17 00:57:59.803000 | https://github.com/qhfang/accurateacl | 24 | Towards Accurate Active Camera Localization | https://scholar.google.com/scholar?cluster=6184579916001482334&hl=en&as_sdt=0,44 | 3 | 2,022 |
Camera Pose Auto-Encoders for Improving Pose Regression | 7 | eccv | 0 | 4 | 2023-06-17 00:58:00.005000 | https://github.com/yolish/camera-pose-auto-encoders | 8 | Camera pose auto-encoders for improving pose regression | https://scholar.google.com/scholar?cluster=1200127166856319634&hl=en&as_sdt=0,5 | 3 | 2,022 |
Bagging Regional Classification Activation Maps for Weakly Supervised Object Localization | 6 | eccv | 1 | 0 | 2023-06-17 00:58:00.206000 | https://github.com/zh460045050/bagcams | 11 | Bagging regional classification activation maps for weakly supervised object localization | https://scholar.google.com/scholar?cluster=11753021633093920056&hl=en&as_sdt=0,5 | 1 | 2,022 |
UC-OWOD: Unknown-Classified Open World Object Detection | 11 | eccv | 4 | 4 | 2023-06-17 00:58:00.407000 | https://github.com/johnwuzh/uc-owod | 17 | UC-OWOD: Unknown-Classified Open World Object Detection | https://scholar.google.com/scholar?cluster=16063369850373717400&hl=en&as_sdt=0,3 | 4 | 2,022 |
3D Object Detection with a Self-Supervised Lidar Scene Flow Backbone | 9 | eccv | 6 | 7 | 2023-06-17 00:58:00.607000 | https://github.com/emecercelik/ssl-3d-detection | 28 | 3d object detection with a self-supervised lidar scene flow backbone | https://scholar.google.com/scholar?cluster=3097782278362600887&hl=en&as_sdt=0,14 | 3 | 2,022 |
Open Vocabulary Object Detection with Pseudo Bounding-Box Labels | 16 | eccv | 4 | 4 | 2023-06-17 00:58:00.819000 | https://github.com/salesforce/pb-ovd | 40 | Open vocabulary object detection with pseudo bounding-box labels | https://scholar.google.com/scholar?cluster=1851007110321536767&hl=en&as_sdt=0,33 | 4 | 2,022 |
Vote from the Center: 6 DoF Pose Estimation in RGB-D Images by Radial Keypoint Voting | 6 | eccv | 5 | 11 | 2023-06-17 00:58:01.074000 | https://github.com/aaronwool/rcvpose | 19 | Vote from the center: 6 dof pose estimation in rgb-d images by radial keypoint voting | https://scholar.google.com/scholar?cluster=15869715914145770859&hl=en&as_sdt=0,31 | 1 | 2,022 |
Long-Tailed Instance Segmentation Using Gumbel Optimized Loss | 5 | eccv | 2 | 0 | 2023-06-17 00:58:01.335000 | https://github.com/kostas1515/gol | 12 | Long-tailed Instance Segmentation using Gumbel Optimized Loss | https://scholar.google.com/scholar?cluster=2756765905530613268&hl=en&as_sdt=0,39 | 2 | 2,022 |
DetMatch: Two Teachers Are Better than One for Joint 2D and 3D Semi-Supervised Object Detection | 9 | eccv | 2 | 0 | 2023-06-17 00:58:01.548000 | https://github.com/divadi/detmatch | 30 | Detmatch: Two teachers are better than one for joint 2d and 3d semi-supervised object detection | https://scholar.google.com/scholar?cluster=13044172833366605708&hl=en&as_sdt=0,43 | 10 | 2,022 |
ObjectBox: From Centers to Boxes for Anchor-Free Object Detection | 13 | eccv | 15 | 6 | 2023-06-17 00:58:01.762000 | https://github.com/mohsenzand/objectbox | 125 | Objectbox: From centers to boxes for anchor-free object detection | https://scholar.google.com/scholar?cluster=7167680945390018074&hl=en&as_sdt=0,39 | 7 | 2,022 |
Is Geometry Enough for Matching in Visual Localization? | 6 | eccv | 6 | 0 | 2023-06-17 00:58:01.974000 | https://github.com/dvl-tum/gomatch | 68 | Is Geometry Enough for Matching in Visual Localization? | https://scholar.google.com/scholar?cluster=7930011242295732308&hl=en&as_sdt=0,14 | 11 | 2,022 |
Video Anomaly Detection by Solving Decoupled Spatio-Temporal Jigsaw Puzzles | 10 | eccv | 5 | 5 | 2023-06-17 00:58:02.188000 | https://github.com/gdwang08/jigsaw-vad | 26 | Video anomaly detection by solving decoupled spatio-temporal jigsaw puzzles | https://scholar.google.com/scholar?cluster=12003082504440513279&hl=en&as_sdt=0,7 | 2 | 2,022 |
Class-Agnostic Object Detection with Multi-modal Transformer | 22 | eccv | 20 | 3 | 2023-06-17 00:58:02.403000 | https://github.com/mmaaz60/mvits_for_class_agnostic_od | 244 | Class-agnostic object detection with multi-modal transformer | https://scholar.google.com/scholar?cluster=6789740800407892437&hl=en&as_sdt=0,47 | 7 | 2,022 |
Object Detection As Probabilistic Set Prediction | 2 | eccv | 1 | 0 | 2023-06-17 00:58:02.620000 | https://github.com/georghess/pmb-nll | 7 | Object Detection as Probabilistic Set Prediction | https://scholar.google.com/scholar?cluster=8679090498560042960&hl=en&as_sdt=0,3 | 1 | 2,022 |
Weakly-Supervised Temporal Action Detection for Fine-Grained Videos with Hierarchical Atomic Actions | 1 | eccv | 0 | 3 | 2023-06-17 00:58:02.833000 | https://github.com/lizhi1104/haan | 12 | Weakly-Supervised Temporal Action Detection for Fine-Grained Videos with Hierarchical Atomic Actions | https://scholar.google.com/scholar?cluster=17264237154516113642&hl=en&as_sdt=0,36 | 2 | 2,022 |
On Label Granularity and Object Localization | 4 | eccv | 2 | 0 | 2023-06-17 00:58:03.047000 | https://github.com/visipedia/inat_loc | 8 | On Label Granularity and Object Localization | https://scholar.google.com/scholar?cluster=2422681559524449972&hl=en&as_sdt=0,48 | 6 | 2,022 |
OIMNet++: Prototypical Normalization and Localization-Aware Learning for Person Search | 4 | eccv | 10 | 0 | 2023-06-17 00:58:03.259000 | https://github.com/cvlab-yonsei/OIMNetPlus | 37 | OIMNet++: Prototypical Normalization and Localization-Aware Learning for Person Search | https://scholar.google.com/scholar?cluster=1410585188248909504&hl=en&as_sdt=0,33 | 4 | 2,022 |
3D Random Occlusion and Multi-layer Projection for Deep Multi-Camera Pedestrian Localization | 3 | eccv | 0 | 0 | 2023-06-17 00:58:03.471000 | https://github.com/xjtlu-cvlab/3drom | 5 | 3D Random Occlusion and Multi-layer Projection for Deep Multi-camera Pedestrian Localization | https://scholar.google.com/scholar?cluster=16600455857951353236&hl=en&as_sdt=0,47 | 1 | 2,022 |
Knowledge Condensation Distillation | 5 | eccv | 2 | 2 | 2023-06-17 00:58:03.682000 | https://github.com/dzy3/kcd | 21 | Knowledge condensation distillation | https://scholar.google.com/scholar?cluster=14400509218936192311&hl=en&as_sdt=0,5 | 1 | 2,022 |
Masked Generative Distillation | 37 | eccv | 20 | 2 | 2023-06-17 00:58:03.893000 | https://github.com/yzd-v/MGD | 165 | Masked generative distillation | https://scholar.google.com/scholar?cluster=2410146594804744602&hl=en&as_sdt=0,32 | 1 | 2,022 |
Fine-Grained Data Distribution Alignment for Post-Training Quantization | 8 | eccv | 0 | 0 | 2023-06-17 00:58:04.105000 | https://github.com/zysxmu/fdda | 11 | Fine-grained data distribution alignment for post-training quantization | https://scholar.google.com/scholar?cluster=1370940591931369082&hl=en&as_sdt=0,41 | 1 | 2,022 |
Efficient One Pass Self-Distillation with Zipf's Label Smoothing | 4 | eccv | 3 | 0 | 2023-06-17 00:58:04.317000 | https://github.com/megvii-research/zipfls | 22 | Efficient One Pass Self-distillation with Zipf's Label Smoothing | https://scholar.google.com/scholar?cluster=616033282917040366&hl=en&as_sdt=0,31 | 3 | 2,022 |
Prune Your Model before Distill It | 5 | eccv | 3 | 0 | 2023-06-17 00:58:04.528000 | https://github.com/ososos888/prune-then-distill | 32 | Prune your model before distill it | https://scholar.google.com/scholar?cluster=2341562978953359586&hl=en&as_sdt=0,44 | 2 | 2,022 |
Patch Similarity Aware Data-Free Quantization for Vision Transformers | 9 | eccv | 11 | 3 | 2023-06-17 00:58:04.740000 | https://github.com/zkkli/psaq-vit | 71 | Patch similarity aware data-free quantization for vision transformers | https://scholar.google.com/scholar?cluster=17711527592354393966&hl=en&as_sdt=0,50 | 3 | 2,022 |
Streaming Multiscale Deep Equilibrium Models | 0 | eccv | 0 | 0 | 2023-06-17 00:58:04.951000 | https://github.com/ufukertenli/streamdeq-code | 6 | Streaming Multiscale Deep Equilibrium Models | https://scholar.google.com/scholar?cluster=6815895297598856982&hl=en&as_sdt=0,34 | 1 | 2,022 |
Equivariance and Invariance Inductive Bias for Learning from Insufficient Data | 6 | eccv | 2 | 0 | 2023-06-17 00:58:05.163000 | https://github.com/wangt-cn/eqinv | 17 | Equivariance and invariance inductive bias for learning from insufficient data | https://scholar.google.com/scholar?cluster=3438445539546676262&hl=en&as_sdt=0,10 | 1 | 2,022 |
Mixed-Precision Neural Network Quantization via Learned Layer-Wise Importance | 5 | eccv | 2 | 0 | 2023-06-17 00:58:05.374000 | https://github.com/1hunters/LIMPQ | 20 | Mixed-Precision Neural Network Quantization via Learned Layer-Wise Importance | https://scholar.google.com/scholar?cluster=12314436994515800017&hl=en&as_sdt=0,34 | 2 | 2,022 |
EdgeViTs: Competing Light-Weight CNNs on Mobile Devices with Vision Transformers | 43 | eccv | 4 | 5 | 2023-06-17 00:58:05.586000 | https://github.com/saic-fi/edgevit | 67 | Edgevits: Competing light-weight cnns on mobile devices with vision transformers | https://scholar.google.com/scholar?cluster=14797189077413553145&hl=en&as_sdt=0,5 | 7 | 2,022 |
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