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Swin-Base

Image Classification
AIoT
QNN
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metadata
license: other
license_name: aplux-model-farm-license
license_link: https://aiot.aidlux.com/api/v1/files/license/model_farm_license_en.pdf
pipeline_tag: image-classification
tags:
  - AIoT
  - QNN

Swin-Base: Image Classification

Swin-Base is the base version of the Swin Transformer family, a hierarchical Vision Transformer that excels at image representation tasks. It introduces a shifted window attention mechanism, enabling efficient computation while capturing both local and global image context. Swin-Base is widely used in tasks such as image classification, object detection, and semantic segmentation. As a mid-sized model, it strikes a strong balance between accuracy and inference efficiency, offering better generalization compared to conventional CNN-based architectures, and is well-suited for various computer vision applications.

Source model

  • Input shape: 1x3x224x224
  • Number of parameters: 83.70M
  • Model size: 340.3M
  • Output shape: 1x1000

The source model can be found here

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