https://github.com/ControlNet/MARLIN
공식 코드MARLIN: Masked Autoencoder for facial video Representation LearnINg
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
Facial attribute classification is the task of classifying various attributes of a facial image - e.g. whether someone has a beard, is wearing a hat, and so on.
<span style="color:grey; opacity: 0.6">( Image credit: Multi-task Learning of Cascaded CNN for Facial Attribute Classification )</span>
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
MARLIN: Masked Autoencoder for facial video Representation LearnINg
Learning from Failure: Training Debiased Classifier from Biased Classifier
Distributionally Generative Augmentation for Fair Facial Attribute Classification
FairFace: Face Attribute Dataset for Balanced Race, Gender, and Age
Label2Label: A Language Modeling Framework for Multi-Attribute Learning
Training Debiased Subnetworks with Contrastive Weight Pruning
Fair Contrastive Learning for Facial Attribute Classification
FineFACE: Fair Facial Attribute Classification Leveraging Fine-grained Features
MiVOLO: Multi-input Transformer for Age and Gender Estimation
Discover and Mitigate Unknown Biases with Debiasing Alternate Networks
Imbalanced Deep Learning by Minority Class Incremental Rectification
MiVOLO: Multi-input Transformer for Age and Gender Estimation
FairFace: Face Attribute Dataset for Balanced Race, Gender, and Age
FairFace: Face Attribute Dataset for Balanced Race, Gender, and Age
FairFace: Face Attribute Dataset for Balanced Race, Gender, and Age
Learning from Failure: Training Debiased Classifier from Biased Classifier
FairFace: Face Attribute Dataset for Balanced Race, Gender, and Age
FairFace: Face Attribute Dataset for Balanced Race, Gender, and Age
FairFace: Face Attribute Dataset for Balanced Race, Gender, and Age
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.