MD-louis
Follow
Lists (4)
Stars
SpikingJelly is an open-source deep learning framework for Spiking Neural Network (SNN) based on PyTorch.
Official implementation of HIPTrack: Visual Tracking with Historical Prompts. (CVPR 2024)
[ECCV 2022] Joint Feature Learning and Relation Modeling for Tracking: A One-Stream Framework
Code for "End-to-End Adaptive Sampling and Representation for Event-based Detection with Recurrent Spiking Neural Networks", ECCV 2024
The official implementation for the paper [ODTrack: Online Dense Temporal Token Learning for Visual Tracking].
This repository contains code from our paper Efficient and Accurate Conversion of Spiking Neural Network with Burst Spikes, published in IJCAI, 2022.
Event stream based visual object tracking using Mamba/State Space Model
Offical implementation of "Integer-Valued Training and Spike-Driven Inference Spiking Neural Network for High-performance and Energy-efficient Object Detection" (ECCV2024 Best Paper Candidate)
the official pytorch implementation of “Mamba-YOLO：SSMs-based for Object Detection”
A series of basic algorithms that are useful for video understanding, including Single Object Tracking (SOT), Video Object Segmentation (VOS) and so on.
[CVPR-2024] The First High Definition (HD) Event based Visual Object Tracking Benchmark Dataset
Paper list for single object tracking (State-of-the-art SOT trackers)
[ECCV 2022] ByteTrack: Multi-Object Tracking by Associating Every Detection Box
Code for the paper "High Speed and High Dynamic Range Video with an Event Camera" (T-PAMI, 2019).
Spatio-Temporal Recurrent Networks for Event-Based Optical Flow Estimation (AAAI 2022)
Code for the paper "EV-FlowNet: Self-Supervised Optical Flow for Event-based Cameras"
Self-Supervised Learning of Event-based Optical Flow with Spiking Neural Networks
Java tools for Address-Event Representation (AER) neuromorphic vision and audio sensor processing
A curated list of papers, code and resources pertaining to zero shot learning