cwq159 / PyTorch-Spiking-YOLOv3
A PyTorch implementation of Spiking-YOLOv3. Two branches are provided, based on two common PyTorch implementation of YOLOv3(ultralytics/yolov3 & eriklindernoren/PyTorch-YOLOv3), with support for Spiking-YOLOv3-Tiny at present.
☆211Updated 3 years ago
Alternatives and similar repositories for PyTorch-Spiking-YOLOv3:
Users that are interested in PyTorch-Spiking-YOLOv3 are comparing it to the libraries listed below
- Official implementation of paper "Razor SNN: Efficient Spiking Neural Network with Temporal Embeddings", ICANN 2023.☆56Updated 4 years ago
- Paper list for SNN based computer vision tasks.☆122Updated 4 months ago
- A simple direct training implement for SNNs using Spatio-Temporal Backpropagation☆84Updated last year
- Deep Residual Learning in Spiking Neural Networks☆157Updated 2 years ago
- Repository code for the IJCNN 2022 paper "Object Detection with Spiking Neural Networks on Automotive Event Data"☆71Updated last year
- Code for temporal efficient training☆57Updated 5 months ago
- Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks☆101Updated 2 years ago
- Offical implementation of "Deep Directly-Trained Spiking Neural Networks for Object Detection" (ICCV2023)☆156Updated last year
- Spatio-temporal BP for SNNs☆215Updated 2 years ago
- The code associated with Comparing SNNs and RNNs on neuromorphic vision datasets: Similarities and differences.☆51Updated 3 years ago
- ☆253Updated 3 years ago
- ☆49Updated last year
- Object Detection Based on Dynamic Vision Sensor with Spiking Neural Network☆19Updated last year
- 🔥🔥🔥A collection of some awesome public SNN(Spiking Neural Network) projects.☆164Updated 3 months ago
- STBP is a way to train SNN with datasets by Backward propagation.Using this Repositories allows you to train SNNS with STBP and quantize …☆27Updated 2 years ago
- Advancing Spiking Neural Networks towards Deep Residual Learning☆46Updated 10 months ago
- Code for "Convolutional spiking neural networks (SNN) for spatio-temporal feature extraction" paper☆125Updated 4 years ago
- SyOPs counter for spiking neural networks☆56Updated last year
- Offical implementation of "Attention Spiking Neural Networks" (IEEE T-PAMI2023)☆73Updated 7 months ago
- [TCDS] The implementation of SpikingVit for object detection on event-based datasets.☆10Updated 6 months ago
- Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks☆34Updated 3 years ago
- ☆58Updated last year
- Pytorch Implementation of Signed Neuron with Memory: Towards Simple, Accurate and High-Efficient ANN-SNN Conversion, IJCAI 2022☆22Updated 2 years ago
- Pytorch implementation of TSSL-BP rule for Deep Spiking Neural Networks.☆68Updated 9 months ago
- [NeurIPS 2022] Online Training Through Time for Spiking Neural Networks☆55Updated last year
- Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation☆99Updated 3 years ago
- code for generating data set ES-ImageNet with corresponding training code☆29Updated 7 months ago
- This is the official implementation of the 'SFOD: Spiking Fusion Object Detection'.☆27Updated 10 months ago
- [CVPR 2022] Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation☆48Updated 2 years ago
- Offical implementation of "Spike-driven Transformer V2: Meta Spiking Neural Network Architecture Inspiring the Design of Next-generation …☆156Updated 8 months ago