LITE: A Paradigm Shift: Multi Object Tracking with Deep Association Metric
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Updated
Nov 15, 2024 - Python
LITE: A Paradigm Shift: Multi Object Tracking with Deep Association Metric
【CVPR2024】Magic Tokens: Select Diverse Tokens for Multi-modal Object Re-Identification
Fork of JustEnoughIDs. Minecraft 1.13+ chunk format in 1.12.2, removing the block, item, & biome ID limits.
[Pattern Recognition'24] Pytorch implementation of Multiple-environment Self-adaptive Network for Aerial-view Geo-localization 🚁 https://arxiv.org/abs/2204.08381
Our submission for the bengaluru mobility challenge
[NeurIPS 2021] TransMatcher: Deep Image Matching Through Transformers for Generalizable Person Re-identification
[WACV23] A strong baseline for body part-based person re-identification
Human Co-Parsing Guided Alignment for Occluded Person Re-identification(IEEE T-IP 23)
A cross-platform video structuring (video analysis) framework. If you find it helpful, please give it a star: ) 跨平台的视频结构化(视频分析)框架,觉得有帮助的请给个星星 : )
High-performance multiple object tracking based on YOLO, Deep SORT, and KLT 🚀
Awesome Person Re-identification
A New Strong and Simple Baseline Method for VI-ReID (Bridging the Gap: Multi-level Cross-modality Joint Alignment for Visible-infrared Person Re-identification)
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.
C++ implementation of BoT-SORT MOT algorithm with Re-ID and Camera Motion Compensation
BoT-SORT + YOLOX implemented using only onnxruntime, Numpy and scipy, without cython_bbox and PyTorch. Fast human tracker. OSNet is not used.
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