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/Mind23-2/MindCode-74
https://github.com/Mind23-2/MindCode-75
https://github.com/Mind23-2/MindCode-82
https://github.com/MindCode-4/code-4/tree/main/sam
https://github.com/MindSpore-MS-Code2/code0/tree/main/ecolite
https://github.com/MindSpore-paper-code-3/code9/tree/main/SSD
https://github.com/MindSpore-scientific/code-7/tree/main/SAM
https://github.com/MonsterPeng/caffe_ssd
https://github.com/MrAI-Rohan/SSDImplementation
https://github.com/MrRen-sdhm/Embedded_Multi_Object_Detection_CNN
https://github.com/NCNU-OpenSource/What-are-you-
https://github.com/NU-LL/lighttrack-
LightTrack: A Generic Framework for Online Top-Down Human Pose Tracking
https://github.com/Ohyeon5/MismatchPenaltySegmentation
https://github.com/Ohyeon5/MultiscaleSegmentation
https://github.com/PaddlePaddle/PaddleDetection
https://github.com/PaulZhangIsing/CaffeSSD-opencv4
https://github.com/PettyDevil/caffe_ssd
https://github.com/PhanTom2003/SSD
https://github.com/PiseyYou/MobileNet_Caffe_Configuration
https://github.com/PuchatekwSzortach/voc_ssd
https://github.com/RashadGarayev/OpencvDnnmodule
https://github.com/RentadroneCL/Photovoltaic_Fault_Detector
https://github.com/RentadroneCL/model-definition
https://github.com/Richard-cpu2333/tx2dl
https://github.com/SSN15/Behavioral-Cloning--Implementaion-of-Autonomous-car-using-deep-learning
https://github.com/SSN15/Traffic-sign-recognition-using-deep-learning-and-computer-vision
https://github.com/STVIR/pysot
SiamRPN++: Evolution of Siamese Visual Tracking with Very Deep Networks
https://github.com/ShivamPrajapati2001/People_Counter
https://github.com/ShuaiBai623/MFT
Multi-hierarchical Independent Correlation Filters for Visual Tracking
https://github.com/SkalskiP/make-sense
https://github.com/Sobeit-Tim/NuguEyeTest
https://github.com/Superlee506/Correlation_Filtering_Tracking_Lib
https://github.com/T-a-g-z/Yotube-VOS-OVS
https://github.com/TanyaChutani/SSD-Tensorflow
https://github.com/ThiagoPiovesan/PeopleCounter_module
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.