cooper_robot
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Add release note for v1.1.0
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README.md
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library_name: pytorch
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#TopFormer-B
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This model uses the TopFormer-Base variant, which balances representational capacity and computational efficiency through a hierarchical token pyramid. It is well suited for on-device image classification and as an efficient backbone for downstream tasks where low latency and power efficiency are critical.
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library_name: pytorch
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TopFormer introduces a lightweight token–pyramid transformer that progressively merges local and global representations, achieving strong accuracy–efficiency trade-offs for mobile and edge vision tasks.
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Original paper: [TopFormer: Token Pyramid Transformer for Mobile Vision](https://arxiv.org/abs/2204.05525)
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# TopFormer-B
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This model uses the TopFormer-Base variant, which balances representational capacity and computational efficiency through a hierarchical token pyramid. It is well suited for on-device image classification and as an efficient backbone for downstream tasks where low latency and power efficiency are critical.
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