##Overview
Recentrly There are This repo is for the breife overview for O
Tensorflow - Google Pytorh - Facebook Mxnet - Microsoft TensorRT - Nvidia Darknet??
##Object tracking Architecture
JDE (Joint Detection and Embedding) Model
SDE
Yolo4 + Deepsort (https://github.com/theAIGuysCode/yolov4-deepsort)
RTS (ECCV 2022, https://arxiv.org/abs/2203.11191)
ToMP (CVPR 2022, https://arxiv.org/abs/2203.11192)
KeepTrack(ICCV 2021, https://arxiv.org/abs/2103.16556)
LWL (ECCV 2020, https://arxiv.org/pdf/2003.11540.pdf)
KYS (ECCV 2020, https://arxiv.org/pdf/2003.11014.pdf)
PrDiMP (CVPR 2020, https://arxiv.org/pdf/2003.12565)
DiMP (ICCV 2019, https://arxiv.org/pdf/1904.07220 )
ATOM (CVPR 2019, https://arxiv.org/pdf/1811.07628)
E.T.Track (WACV 2023, https://arxiv.org/abs/2112.09686)
SORT/DeepSORT (ICIP 2016/2017)
Tracktor (ICCV 2019)
QDTrack (CVPR 2021)
ByteTrack (ECCV 2022)
OC-SORT (arXiv 2022)
SiameseRPN++ (CVPR 2019)
STARK (ICCV 2021)
MixFormer (CVPR 2022)
Towards Realtime MOT (https://github.com/Zhongdao/Towards-Realtime-MOT)
Unicorn (https://github.com/MasterBin-IIAU/Unicorn)
Ocean (ECEV 2020)
SiamDW (CVPR 2019)
FairMot
Torchreid (https://github.com/KaiyangZhou/deep-person-reid)
Pytorch ReID (https://github.com/layumi/Person_reID_baseline_pytorch)
bpbreid (https://github.com/vlsomers/bpbreid)
StackAubse (https://stackabuse.com/courses/practical-deep-learning-for-computer-vision-with-python/)
Single Object Tracking: A survey of Methods, Datasets, and Evalutation Metrics (Research by Zahra et al., https://arxiv.org/pdf/2201.13066.pdf)
mmTracking (https://github.com/open-mmlab/mmtracking)
pyTracking (https://github.com/visionml/pytracking)
PaddleDetection (https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.1/configs/mot)
Trackit (https://github.com/researchmm/TracKit)