Papers with Code 아카이브
Interest Point Detection
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/rvimlab/homography_imitation_learning
Deep Homography Estimation in Dynamic Surgical Scenes for Laparoscopic Camera Motion Extraction
https://github.com/samorr/homography-net
https://github.com/saranshqm/Visual-Odometry
SuperPoint: Self-Supervised Interest Point Detection and Description
https://github.com/smj007/Superpoint_Pytorch
SuperPoint: Self-Supervised Interest Point Detection and Description
https://github.com/teddykoker/unsupervised-deep-homography
Unsupervised Deep Homography: A Fast and Robust Homography Estimation Model
https://github.com/tzvikif/SuperGlue
SuperPoint: Self-Supervised Interest Point Detection and Description
https://github.com/ucuapps/openglue
SuperPoint: Self-Supervised Interest Point Detection and Description
https://github.com/vcowwy/SuperGlue_paddle
SuperPoint: Self-Supervised Interest Point Detection and Description
https://github.com/vcowwy/paddle-superpoint
SuperPoint: Self-Supervised Interest Point Detection and Description
https://github.com/yangyucheng000/University/tree/main/model-3/superpoint
SuperPoint: Self-Supervised Interest Point Detection and Description
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.