This is your work, valued
Ph.D. Student at Peking University. Previously at PCL and CASIA.
QKFormer. Offical code of "QKFormer: Hierarchical Spiking Transformer using Q-K Attention"
150Spikingformer-CML. Enhancing the Performance of Transformer-based Spiking Neural Networks by SNN-optimized Downsampling with Precise Gradient Backpropagation
49Awesome-Transformer-for-Vision-Recognition. A comprehensive paper list of Transformer & Attention for Vision Recognition / Foundation Model, including papers, codes, and related websites.
20SGLFormer. Spiking Global-Local Fusion Transformer
2Awesome-Model-Quantization-and-Compression.
1zhouchenlin2096.github.io. Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
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