Papers with Code 아카이브
Visual Object Tracking
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Visual Object Tracking is an important research topic in computer vision, image understanding and pattern recognition. Given the initial state (centre location and scale) of a target in the first frame of a video sequence, the aim of Visual Object Tracking is to automatically obtain the states of the object in the subsequent video frames.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/BehradToghi/ECCV_Youtube_VOS
https://github.com/CV-deeplearning/caffe
https://github.com/Chubbyman2/SSD_MobileNet_Hand_Tracker
https://github.com/ChujoHiroto/tensorflow-ssd
https://github.com/ChunML/ssd-tf2
https://github.com/Coldmooon/SSD-on-Custom-Dataset
https://github.com/Cosmos218/ssd-caffe
https://github.com/CycloneBoy/PPDetectionPytorch
https://github.com/DChaushev/Age-Gender-Recognition
https://github.com/Daikenan/ASRCF
https://github.com/Deci-AI/super-gradients
https://github.com/Eladamar/Dual-Tracker
Discriminative Correlation Filter with Channel and Spatial Reliability
https://github.com/Eladamar/tracking
Discriminative Correlation Filter with Channel and Spatial Reliability
https://github.com/Eljefemasao/Customed-Object-Detector
https://github.com/Eljefemasao/MarkNet-ObjectDetector
https://github.com/EquipoVandV/mmactionVandV
Rethinking Self-supervised Correspondence Learning: A Video Frame-level Similarity Perspective
https://github.com/EricYang3721/faces
https://github.com/GitHberChen/FCN-Pytorch
https://github.com/Guanghan/ROLO
Spatially Supervised Recurrent Convolutional Neural Networks for Visual Object Tracking
https://github.com/Guillem96/ssd-pytorch
https://github.com/HaHuangChan/RASNet
https://github.com/HiKapok/SSD.TensorFlow
https://github.com/InquisitiveOjas/Object-Detection_SSD
https://github.com/JKmopl-code/SiamFC
https://github.com/JaryHuang/awesome_SSD_FPN_GIoU
https://github.com/JimmyLauren/caffe_ssd_mofified
https://github.com/JoegameZhou/ssd
https://github.com/JoseVillagranE/SiameseNetworks
https://github.com/JoyHsiao/Haitec
https://github.com/KostadinovShalon/UAVDetectionTrackingBenchmark
https://github.com/LanqingLi/Chromosome
https://github.com/MS-Mind/MS-Code-06/tree/main/OSVOS
https://github.com/MTCloudVision/mxnet-dssd
https://github.com/MenGuangwen-CN-0411/Simple-Use-of-SSD
https://github.com/Microsoft/SA-Siam
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.