Papers with Code 아카이브
Facial Recognition and Modelling
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 26
- 평가표
- 0
- 보존된 평가 기록
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Facial tasks in machine learning operate based on images or video frames (or other datasets) focussed on human faces.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/zrui94/insight_mx
MS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition
https://github.com/zs7779/FAN_AdaptiveWingLoss
Adaptive Wing Loss for Robust Face Alignment via Heatmap Regression
https://github.com/zsef123/PGGAN-Pytorch
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/zuoqing1988/mobile-sphereface-caffe
https://github.com/zveryansky/textvec
Inverse-Category-Frequency based supervised term weighting scheme for text categorization
https://github.com/zyh-uaiaaaa/relative-uncertainty-learning
https://github.com/zzdang/match_fashion
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/zzhuolun/IRL
https://github.com/zzzweakman/cvpr24_frcsyn_admis
https://gitlab.com/birder/birder
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://gitlab.com/bsmetsjr/lietorch
https://gitlab.com/williamsdaniel888/valma
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://gitlab.idiap.ch/bob/bob.paper.tbiom2023_edgeface
https://huggingface.co/lion-ai/MedImageInsights
MedImageInsight: An Open-Source Embedding Model for General Domain Medical Imaging
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.