https://github.com/BradyFU/DVG
공식 코드Dual Variational Generation for Low-Shot Heterogeneous Face Recognition
Papers with Code 아카이브
Heterogeneous Face Recognition
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 0
- 평가표
- 3
- 보존된 평가 기록
- 5
Heterogeneous face recognition is the task of matching face images acquired from different sources (i.e., different sensors or different wavelengths) for identification or verification.
<span style="color:grey; opacity: 0.6">( Image credit: Pose Agnostic Cross-spectral Hallucination via Disentangling Independent Factors )</span>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/michaeltrs/rethinknirvis
공식 코드https://gitlab.idiap.ch/bob/bob.paper.ijcb2023_caim_hfr
공식 코드Bridging the Gap: Heterogeneous Face Recognition with Conditional Adaptive Instance Modulation
https://gitlab.idiap.ch/bob/bob.paper.tifs2022_hfr_prepended_domain_transformer
공식 코드Prepended Domain Transformer: Heterogeneous Face Recognition without Bells and Whistles
https://github.com/Recognito-Vision/Face-SDK-Linux-Demos
Bridging the Gap: Heterogeneous Face Recognition with Conditional Adaptive Instance Modulation
https://github.com/anjith2006/bob.paper.tifs2022_hfr_prepended_domain_transformer
Prepended Domain Transformer: Heterogeneous Face Recognition without Bells and Whistles
https://github.com/iamgroot42/A-LINK
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.