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/TripleJoy/SAM2MOT
https://github.com/Tsejing/object_detection
https://github.com/TurtleGo/project-vehicle-detect
https://github.com/VisualComputingInstitute/SiamR-CNN
https://github.com/Viveksbawa/SARAS-ESAD-Baseline
https://github.com/Whiffe/mmaction2_YF
Rethinking Self-supervised Correspondence Learning: A Video Frame-level Similarity Perspective
https://github.com/XiangGaofeng/MindSpore-SSD
https://github.com/ZhangJiajun1995/cs231n-camp
https://github.com/ZhouKai90/face-detection-ssd-mxnet
https://github.com/Zoushuang86/quiz_w8
https://github.com/aiha-lab/AI-thermometer
https://github.com/ailovejinx/gsot3d
https://github.com/airplane2230/keras_Model_for_Beginner
https://github.com/airplane2230/keras_SSD_for_beginner
https://github.com/ajinkyakhoche/Object-Detection-Project
https://github.com/alpemek/ais3d
https://github.com/amdegroot/ssd.pytorch
https://github.com/amemetov/ssd
https://github.com/amirmohammadii/SSD-object-detection
https://github.com/aniketmaurya/ssd-tf2-tfds
https://github.com/aoru45/BasketNet
https://github.com/aoru45/LFFD-Pytorch
https://github.com/arpytanshu/ssd-object-detection
https://github.com/arvind1998/SSD-Object-Detection
https://github.com/ashwath007/amenity-detection
https://github.com/ashwath007/aminity-detection
https://github.com/aubricot/object_detection_for_image_cropping
https://github.com/bailvwangzi/repulsion_loss_ssd
https://github.com/balancap/SSD-Tensorflow
https://github.com/birdman9390/MetaMaskTrack
https://github.com/birosjh/pytorch_ssd
https://github.com/birosjh/simple_ssd
https://github.com/bleedingfight/caffe-env
https://github.com/bmoradi93/ssd-object-detection
https://github.com/bowang-lab/medsam2
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.