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rayleizhu/BiFormer

BiFormer is a Vision Transformer architecture with bi-level routing attention for efficient computer vision tasks.

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BiFormer
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This repository provides the official PyTorch implementation of BiFormer, a CVPR 2023 paper on Vision Transformers with bi-level routing attention. The model uses a dynamic, query-aware, and bi-level routing mechanism to achieve sparse attention computation in vision tasks. It supports image classification, object detection, and semantic segmentation, and achieves state-of-the-art results among efficient Vision Transformers with significantly fewer computational requirements.

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