Joint Detection and Embedding for fast multi-object tracking
-
Updated
Dec 29, 2021 - Python
Joint Detection and Embedding for fast multi-object tracking
[NeurIPS'21] Unified tracking framework with a single appearance model. It supports Single Object Tracking (SOT), Video Object Segmentation (VOS), Multi-Object Tracking (MOT), Multi-Object Tracking and Segmentation (MOTS), Pose Tracking, Video Instance Segmentation (VIS), and class-agnostic MOT (e.g. TAO dataset).
AutoTrackAnything is a universal, flexible and interactive tool for insane automatic object tracking over thousands of frames. It is developed upon XMem, Yolov8 and MobileSAM (Segment Anything), can track anything which detect Yolov8.
🔥 CVPR 2025 (Nashville TN) - The 4th Anti-UAV Workshop & Challenge
Focusing on Tracks for Online Multi-Object Tracking
AdapTrack: Adaptive Thresholding-Based Matching For Multi-Object Tracking
A Confidence-Aware Matching Strategy For Generalized Multi-Object Tracking
Multi-object tracking using a tracking-by-detection scheme with YOLO-NAS + DeepSORT.
Add a description, image, and links to the multi-object-tracker topic page so that developers can more easily learn about it.
To associate your repository with the multi-object-tracker topic, visit your repo's landing page and select "manage topics."