In this work, by utilizing the popular computer vision dataset CIFAR-10, we converted 10,000 frame-based images into 10,000 event streams using a dynamic vision sensor (DVS), providing an event-stream dataset of intermediate difficulty in 10 different classes, named as "CIFAR10-DVS." The ...
Offical implementation of "QKFormer: Hierarchical Spiking Transformer using Q-K Attention" (NeurIPS 2024 Spotlight) - QKFormer/cifar10-dvs/monitor.py at master · zhouchenlin2096/QKFormer
Offical code of "QKFormer: Hierarchical Spiking Transformer using Q-K Attention" (NeurIPS 2024,Spotlight 3%) - QKFormer/cifar10-dvs/train.py at master · zhouchenlin2096/QKFormer
Offical implementation of "QKFormer: Hierarchical Spiking Transformer using Q-K Attention" (NeurIPS 2024 Spotlight) - QKFormer/cifar10-dvs/autoaugment.py at master · zhouchenlin2096/QKFormer
Offical implementation of "QKFormer: Hierarchical Spiking Transformer using Q-K Attention" (NeurIPS 2024 Spotlight) - History for cifar10-dvs/monitor.py - zhouchenlin2096/QKFormer