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Swin-Small

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-Small: Image Classification

Swin-Small is a lightweight variant of the Swin Transformer family, designed with a hierarchical Transformer architecture and shifted window attention. It computes attention within local windows and shifts them across layers to enable global context modeling efficiently. With fewer parameters and lower computational cost than Swin-Base, Swin-Small is suitable for deployment in resource-constrained environments while still achieving strong performance in tasks like image classification, object detection, and semantic segmentation.

Source model

  • Input shape: 1x3x224x224
  • Number of parameters: 47.31M
  • Model size: 193.92M
  • Output shape: 1x1000

The source model can be found here

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