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Facial Attribute Classification
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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>
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Improving Bias in Facial Attribute Classification: A Combined Impact of KL Divergence induced Loss Function and Dual Attention
FineFACE: Fair Facial Attribute Classification Leveraging Fine-grained Features
A Self-Supervised Learning Pipeline for Demographically Fair Facial Attribute Classification
FaceXFormer: A Unified Transformer for Facial Analysis
Leveraging vision-language models for fair facial attribute classification
Distributionally Generative Augmentation for Fair Facial Attribute Classification
Beyond Specialization: Assessing the Capabilities of MLLMs in Age and Gender Estimation
Towards Machine Unlearning Benchmarks: Forgetting the Personal Identities in Facial Recognition Systems
MiVOLO: Multi-input Transformer for Age and Gender Estimation
Fair Multi-Exit Framework for Facial Attribute Classification
MARLIN: Masked Autoencoder for facial video Representation LearnINg
Consistency and Accuracy of CelebA Attribute Values
Training Debiased Subnetworks with Contrastive Weight Pruning
CAT: Controllable Attribute Translation for Fair Facial Attribute Classification
Deep Generative Views to Mitigate Gender Classification Bias Across Gender-Race Groups
Discover and Mitigate Unknown Biases with Debiasing Alternate Networks
Label2Label: A Language Modeling Framework for Multi-Attribute Learning
Fair Contrastive Learning for Facial Attribute Classification
BiaSwap: Removing dataset bias with bias-tailored swapping augmentation
Learning from Failure: Training Debiased Classifier from Biased Classifier
Deep Multi-task Multi-label CNN for Effective Facial Attribute Classification
FairFace: Face Attribute Dataset for Balanced Race, Gender, and Age
Turning a Blind Eye: Explicit Removal of Biases and Variation from Deep Neural Network Embeddings
Multi-label Learning Based Deep Transfer Neural Network for Facial Attribute Classification
Multi-task Learning of Cascaded CNN for Facial Attribute Classification
Imbalanced Deep Learning by Minority Class Incremental Rectification
Adversarial Information Factorization
Heterogeneous Face Attribute Estimation: A Deep Multi-Task Learning Approach
Improving Facial Attribute Prediction using Semantic Segmentation
AFFACT - Alignment-Free Facial Attribute Classification Technique
Are Facial Attributes Adversarially Robust?
Attributes for Improved Attributes: A Multi-Task Network for Attribute Classification
Walk and Learn: Facial Attribute Representation Learning from Egocentric Video and Contextual Data
Deep Learning Face Attributes in the Wild
PANDA: Pose Aligned Networks for Deep Attribute Modeling
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