tracking
Track-Anything is a flexible and interactive tool for video object tracking and segmentation, based on Segment Anything, XMem, and E2FGVI.
Jupyter notebook tutorials for MMTracking
OpenMMLab Video Perception Toolbox. It supports Video Object Detection (VID), Multiple Object Tracking (MOT), Single Object Tracking (SOT), Video Instance Segmentation (VIS) with a unified framework.
The implementation of our CVPR 2023 paper: Frame-Event Alignment and Fusion Network for High Frame Rate Tracking
The First Frame-Event Long-Term Single Object Tracking Benchmark
Repository relating to "Data-driven Feature Tracking for Event Cameras" (CVPR, 2023, Award Candidate) and "Data-driven Feature Tracking for Event Cameras with and without Frames" (T-PAMI 2025)
Code of ICCV 2023 paper Cross-modal Orthogonal High-rank Augmentation for RGB-Event Transformer-trackers
The official implementation of OmniTrack: Omnidirectional Multi-Object Tracking (CVPR 2025)
[ICCV'21] Learning Spatio-Temporal Transformer for Visual Tracking