PocketNet
PocketNet is a face recognition model family discovered through neural architecture search. The training is based on multi-step knowledge distillation.
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
Lightweight Face Recognition models are a group of face recognition models with lightweight backbones, which can be used for mobile or edge device applications.
관련 논문에서 소개한 기법입니다. 이 태스크에서의 평가 여부는 평가 결과에서 확인하세요.
PocketNet is a face recognition model family discovered through neural architecture search. The training is based on multi-step knowledge distillation.
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.