cwq159 / PyTorch-Spiking-YOLOv3Links
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.
☆221Updated 4 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
Sorting:
- Official implementation of paper "Razor SNN: Efficient Spiking Neural Network with Temporal Embeddings", ICANN 2023.☆62Updated 4 years ago
- Paper list for SNN based computer vision tasks.☆130Updated last year
- Repository code for the IJCNN 2022 paper "Object Detection with Spiking Neural Networks on Automotive Event Data"☆76Updated 2 years ago
- Deep Residual Learning in Spiking Neural Networks☆182Updated 3 years ago
- A simple direct training implement for SNNs using Spatio-Temporal Backpropagation☆90Updated 2 years ago
- Code for temporal efficient training☆64Updated 3 months ago
- ☆56Updated 2 years ago
- Advancing Spiking Neural Networks towards Deep Residual Learning☆58Updated 6 months ago
- Offical implementation of "Deep Directly-Trained Spiking Neural Networks for Object Detection" (ICCV2023)☆176Updated 6 months ago
- STSC-SNN: Spatio-Temporal Synaptic Connection with temporal convolution and attention for spiking neural networks☆24Updated 2 years ago
- Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks☆33Updated 3 years ago
- Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks☆112Updated 3 years ago
- ☆64Updated 2 years ago
- Object Detection Based on Dynamic Vision Sensor with Spiking Neural Network☆19Updated 2 years ago
- ☆255Updated 4 years 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 …☆30Updated 3 years ago
- 🔥🔥🔥A collection of some awesome public SNN(Spiking Neural Network) projects.☆213Updated last year
- The code associated with Comparing SNNs and RNNs on neuromorphic vision datasets: Similarities and differences.☆52Updated 4 years ago
- SyOPs counter for spiking neural networks☆67Updated 2 years ago
- [CVPR 2022] Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation☆51Updated 2 years ago
- Spatio-temporal BP for SNNs☆232Updated 3 years ago
- Code for "Convolutional spiking neural networks (SNN) for spatio-temporal feature extraction" paper☆134Updated 5 years ago
- code for generating data set ES-ImageNet with corresponding training code☆32Updated last year
- Pytorch implementation of TSSL-BP rule for Deep Spiking Neural Networks.☆71Updated last year
- Enhancing the Performance of Transformer-based Spiking Neural Networks by SNN-optimized Downsampling with Precise Gradient Backpropagatio…☆44Updated last year
- ☆55Updated 2 years ago
- Pytorch Implementation of Spiking Neural Networks Calibration, ICML 2021☆91Updated last year
- Offical implementation of "Attention Spiking Neural Networks" (IEEE T-PAMI2023)☆84Updated last year
- This is the official implementation of the 'SFOD: Spiking Fusion Object Detection'.☆34Updated last year
- Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation☆102Updated 4 years ago