https://github.com/yangyucheng000/Paper-4/tree/main/LADS-mindspore
LAD-RCNN:A Powerful Tool for Livestock Face Detection and Normalization
Papers with Code 아카이브
Face Detection
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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Face Detection is a computer vision task that involves automatically identifying and locating human faces within digital images or videos. It is a fundamental technology that underpins many applications such as face recognition, face tracking, and facial analysis.
<span style="color:grey; opacity: 0.6">( Image credit: insightface )</span>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/yangyucheng000/RetinaFace
RetinaFace: Single-stage Dense Face Localisation in the Wild
https://github.com/yangyucheng000/paper
CenterFace: Joint Face Detection and Alignment Using Face as Point
https://github.com/yangyucheng000/papercode-2/tree/main/LADS-mindspore
LAD-RCNN:A Powerful Tool for Livestock Face Detection and Normalization
https://github.com/yangyucheng000/papercode-2/tree/main/SFAT-MindSpore-main
https://github.com/yashraj02/RetinaFace
RetinaFace: Single-stage Dense Face Localisation in the Wild
https://github.com/yufat48/pulpissimo
An IoT Endpoint System-on-Chip for Secure and Energy-Efficient Near-Sensor Analytics
https://github.com/yxlijun/s3fd.pytorch
https://github.com/zhaoxin111/insightface
RetinaFace: Single-stage Dense Face Localisation in the Wild
https://github.com/zineos/blazeface
BlazeFace: Sub-millisecond Neural Face Detection on Mobile GPUs
https://github.com/zisianw/FaceBoxes.PyTorch
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.