https://github.com/mingyuw/tracker_209as
SiamFC++: Towards Robust and Accurate Visual Tracking with Target Estimation Guidelines
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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.
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
SiamFC++: Towards Robust and Accurate Visual Tracking with Target Estimation Guidelines
Rethinking Self-supervised Correspondence Learning: A Video Frame-level Similarity Perspective
SiamRPN++: Evolution of Siamese Visual Tracking with Very Deep Networks
SiamRPN++: Evolution of Siamese Visual Tracking with Very Deep Networks
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.