Intelligent-Computing-Lab-Panda / STAttenLinks
PyTorch Implementation of Spiking Transformer with Spatial-Temporal Attention (CVPR 2025)
☆52Updated 4 months ago
Alternatives and similar repositories for STAtten
Users that are interested in STAtten are comparing it to the libraries listed below
Sorting:
- [ECCV-24] Spiking Wavelet Transformer☆31Updated 3 months ago
- Offical implementation of "Spike-driven Transformer" (NeurIPS2023)☆285Updated last year
- Codes of the paper: SpikingResformer: Bridging ResNet and Vision Transformer in Spiking Neural Networks (CVPR2024)☆68Updated 10 months ago
- Offical code of "QKFormer: Hierarchical Spiking Transformer using Q-K Attention" (NeurIPS 2024)☆129Updated 9 months ago
- Offical implementation of "Spike-driven Transformer V2: Meta Spiking Neural Network Architecture Inspiring the Design of Next-generation …☆200Updated last year
- A comprehensive paper list of Transformer & Attention for Vision Recognition / Foundation Model, including papers, codes, and related web…☆20Updated 2 years ago
- Source code for AAAI 2025 paper: FSTA-SNN:Frequency-based Spatial-Temporal Attention Module for Spiking Neural Networks☆41Updated 8 months ago
- Create a new backward path for more accurate SNN gradients.☆16Updated last year
- ICLR 2023, Spikformer: When Spiking Neural Network Meets Transformer☆368Updated last year
- Spikingformer: Spike-driven Residual Learning for Transformer-based Spiking Neural Network☆109Updated 11 months ago
- [TNNLS 2024] Implementation of "TCJA-SNN: Temporal-Channel Joint Attention for Spiking Neural Networks"☆59Updated last year
- Offical implementation of "Quantized Spike-driven Transformer" (ICLR2025)☆26Updated 6 months ago
- Awesome Spiking Neural Networks☆140Updated 7 months ago
- Offical implementation of "Scaling Spike-driven Transformer with Efficient Spike Firing Approximation Training" (IEEE T-PAMI2025)☆85Updated 5 months ago
- Membrane Potential Batch Normalization for Spiking Neural Networks☆19Updated 2 years ago
- ☆52Updated last year
- Joint A-SNN: Joint Training of Artificial and Spiking Neural Networks via Self-Distillation and Weight Factorization☆10Updated 2 years ago
- [Neurips 2023] Exploring Loss Functions for Time-based Training Strategy in Spiking Neural Networks☆17Updated last year
- ☆73Updated 4 months ago
- [WACV 2024] Spiking Denoising Diffusion Probabilistic Models☆53Updated last month
- Enhancing the Performance of Transformer-based Spiking Neural Networks by SNN-optimized Downsampling with Precise Gradient Backpropagatio…☆44Updated last year
- AAAI-2024 "TC-LIF: A Two-Compartment Spiking Neuron Model for Long-Term Sequential Modelling"☆22Updated last year
- Offical implementation of "Spike2Former: Efficient Spiking Transformer for High-performance Image Segmentation" (AAAI2025 Oral)☆29Updated 9 months ago
- Offical implementation of "Attention Spiking Neural Networks" (IEEE T-PAMI2023)☆85Updated last year
- Deep Residual Learning in Spiking Neural Networks☆182Updated 3 years ago
- ☆32Updated 9 months ago
- Spiking Global-Local Fusion Transformer☆19Updated 6 months ago
- [ICCV-23] Masked Spiking Transformer☆32Updated 8 months ago
- ☆19Updated last year
- ☆64Updated 2 years ago