BICLab / ASA-SNN
Offical implementation of "Inherent Redundancy in Spiking Neural Networks" (ICCV2023)
☆24Updated 8 months ago
Related projects: ⓘ
- Advancing Spiking Neural Networks towards Deep Residual Learning☆37Updated 6 months ago
- Enhancing the Performance of Transformer-based Spiking Neural Networks by SNN-optimized Downsampling with Precise Gradient Backpropagatio…☆34Updated 2 months ago
- GLIF: A Unified Gated Leaky Integrate-and-Fire Neuron for Spiking Neural Networks, NeurIPS 2022 Poster☆47Updated last year
- [TNNLS 2024] Implementation of "TCJA-SNN: Temporal-Channel Joint Attention for Spiking Neural Networks"☆40Updated 5 months ago
- Spiking Global-Local Fusion Transformer☆13Updated 6 months ago
- Offical implementation of "Spike-driven Transformer V2: Meta Spiking Neural Network Architecture Inspiring the Design of Next-generation …☆118Updated 4 months ago
- Codes and models of the paper "QKFormer: Hierarchical Spiking Transformer using Q-K Attention"☆47Updated 5 months ago
- Offical implementation of "Attention Spiking Neural Networks" (IEEE T-PAMI2023)☆54Updated 4 months ago
- [ICCV-23] Masked Spiking Transformer☆24Updated 9 months ago
- [AAAI-2024] HARDVS: Revisiting Human Activity Recognition with Dynamic Vision Sensors☆31Updated 7 months ago
- [PokerEvent Benchmark Dataset & SNN-ANN Baseline] Official PyTorch implementation of "SSTFormer: Bridging Spiking Neural Network and Memo…☆15Updated 7 months ago
- ☆41Updated 7 months ago
- Codes of the paper: SpikingResformer: Bridging ResNet and Vision Transformer in Spiking Neural Networks (CVPR2024)☆32Updated 4 months ago
- Awesome Spiking Neural Networks☆87Updated 3 months ago
- Spikingformer: Spike-driven Residual Learning for Transformer-based Spiking Neural Network☆70Updated 6 months ago
- Membrane Potential Batch Normalization for Spiking Neural Networks☆19Updated last year
- SyOPs counter for spiking neural networks☆47Updated last year
- Pytorch implementation of ANN-SNN representation similarity analysis (TMLR 2023)☆12Updated last year
- Deep Residual Learning in Spiking Neural Networks☆140Updated 2 years ago
- ☆51Updated last year
- Pytorch implementation of Neuromorphic Data Augmentation for SNN, Accepted to ECCV 2022.☆33Updated last year
- [ICCV2023] Towards Memory- and Time-Efficient Backpropagation for Training Spiking Neural Networks☆32Updated last year
- ☆13Updated last year
- Repository code for the IJCNN 2022 paper "Object Detection with Spiking Neural Networks on Automotive Event Data"☆57Updated last year
- Source code for AAAI 2024 paper "Finding Visual Saliency in Continuous Spike Stream"☆9Updated 9 months ago
- This is the official code for our paper "Differentiable Hierarchical and Surrogate Gradient Search for Spiking Neural Networks, NeurIPS 2…☆12Updated 10 months ago
- ☆14Updated 9 months ago
- Code for temporal efficient training☆50Updated last month
- code for generating data set ES-ImageNet with corresponding training code☆29Updated 3 months ago
- Offical implementation of "Advancing Spiking Neural Networks towards Deep Residual Learning" (IEEE TNNLS 2024)☆12Updated last year