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+{"paper_url": "https://arxiv.org/abs/2211.10439", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [MamBEV: Enabling State Space Models to Learn Birds-Eye-View Representations](https://huggingface.co/papers/2503.13858) (2025)\n* [BEVDiffuser: Plug-and-Play Diffusion Model for BEV Denoising with Ground-Truth Guidance](https://huggingface.co/papers/2502.19694) (2025)\n* [Doracamom: Joint 3D Detection and Occupancy Prediction with Multi-view 4D Radars and Cameras for Omnidirectional Perception](https://huggingface.co/papers/2501.15394) (2025)\n* [Label-Efficient LiDAR Semantic Segmentation with 2D-3D Vision Transformer Adapters](https://huggingface.co/papers/2503.03299) (2025)\n* [BEVMOSNet: Multimodal Fusion for BEV Moving Object Segmentation](https://huggingface.co/papers/2503.03280) (2025)\n* [CA-W3D: Leveraging Context-Aware Knowledge for Weakly Supervised Monocular 3D Detection](https://huggingface.co/papers/2503.04154) (2025)\n* [SegLocNet: Multimodal Localization Network for Autonomous Driving via Bird's-Eye-View Segmentation](https://huggingface.co/papers/2502.20077) (2025)\n\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space\n\n You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend`"}