Papers Facial Attribute Classification
“Facial Attribute Classification” 태그가 달린 논문 39편 · 필터 해제
DiffInf: Influence-Guided Diffusion for Supervision Alignment in Facial Attribute Learning
Facial attribute classification relies on large-scale annotated datasets in which many traits, such as age and expression, are inherently ambiguous and continuous but are discretized into categorical labels. Annotation i…
Facial Attribute ClassificationRepresentation LearningIncorporating Interventional Independence Improves Robustness against Interventional Distribution Shift
We study the problem of learning robust discriminative representations of causally related latent variables given the underlying causal graph and a training set comprising passively collected observational data and inter…
Facial Attribute ClassificationImpact of Face Alignment on Face Image Quality
Face alignment is a crucial step in preparing face images for feature extraction in facial analysis tasks. For applications such as face recognition, facial expression recognition, and facial attribute classification, al…
AttributeFace AlignmentFace DetectionFace Image Quality+5Improving Bias in Facial Attribute Classification: A Combined Impact of KL Divergence induced Loss Function and Dual Attention
Ensuring that AI-based facial recognition systems produce fair predictions and work equally well across all demographic groups is crucial. Earlier systems often exhibited demographic bias, particularly in gender and raci…
AttributeClassificationComputational EfficiencyDiversity+4FineFACE: Fair Facial Attribute Classification Leveraging Fine-grained Features
Published research highlights the presence of demographic bias in automated facial attribute classification algorithms, particularly impacting women and individuals with darker skin tones. Existing bias mitigation techni…
AttributeClassificationFacial Attribute ClassificationFairnessA Self-Supervised Learning Pipeline for Demographically Fair Facial Attribute Classification
Published research highlights the presence of demographic bias in automated facial attribute classification. The proposed bias mitigation techniques are mostly based on supervised learning, which requires a large amount …
AttributeContrastive LearningFacial Attribute ClassificationFairness+4FaceXFormer: A Unified Transformer for Facial Analysis
In this work, we introduce FaceXFormer, an end-to-end unified transformer model capable of performing nine facial analysis tasks including face parsing, landmark detection, head pose estimation, attribute prediction, and…
Age and Gender EstimationAge EstimationAttributeDecoder+4Leveraging vision-language models for fair facial attribute classification
Performance disparities of image recognition across different demographic populations are known to exist in deep learning-based models, but previous work has largely addressed such fairness problems assuming knowledge of…
AttributeFacial Attribute ClassificationFairnessLanguage Modeling+1Distributionally Generative Augmentation for Fair Facial Attribute Classification
Facial Attribute Classification (FAC) holds substantial promise in widespread applications. However, FAC models trained by traditional methodologies can be unfair by exhibiting accuracy inconsistencies across varied data…
AttributeClassificationFacial Attribute ClassificationFairnessBeyond Specialization: Assessing the Capabilities of MLLMs in Age and Gender Estimation
Multimodal Large Language Models (MLLMs) have recently gained immense popularity. Powerful commercial models like ChatGPT-4V and Gemini, as well as open-source ones such as LLaVA, are essentially general-purpose models a…
Age And Gender ClassificationAge and Gender EstimationAge EstimationFacial Attribute Classification+2Towards Machine Unlearning Benchmarks: Forgetting the Personal Identities in Facial Recognition Systems
Machine unlearning is a crucial tool for enabling a classification model to forget specific data that are used in the training time. Recently, various studies have presented machine unlearning algorithms and evaluated th…
Age EstimationAttributeClassificationFacial Attribute Classification+2MiVOLO: Multi-input Transformer for Age and Gender Estimation
Age and gender recognition in the wild is a highly challenging task: apart from the variability of conditions, pose complexities, and varying image quality, there are cases where the face is partially or completely occlu…
Age And Gender ClassificationAge and Gender EstimationAge EstimationFacial Attribute Classification+1Fair Multi-Exit Framework for Facial Attribute Classification
Fairness has become increasingly pivotal in facial recognition. Without bias mitigation, deploying unfair AI would harm the interest of the underprivileged population. In this paper, we observe that though the higher acc…
AttributeClassificationFacial Attribute ClassificationFairnessMARLIN: Masked Autoencoder for facial video Representation LearnINg
This paper proposes a self-supervised approach to learn universal facial representations from videos, that can transfer across a variety of facial analysis tasks such as Facial Attribute Recognition (FAR), Facial Express…
Action ClassificationAttributeDeepFake DetectionEmotion Classification+8Consistency and Accuracy of CelebA Attribute Values
We report the first systematic analysis of the experimental foundations of facial attribute classification. Two annotators independently assigning attribute values shows that only 12 of 40 common attributes are assigned …
AttributeFacial Attribute ClassificationTraining Debiased Subnetworks with Contrastive Weight Pruning
Neural networks are often biased to spuriously correlated features that provide misleading statistical evidence that does not generalize. This raises an interesting question: ``Does an optimal unbiased functional subnetw…
Facial Attribute ClassificationCAT: Controllable Attribute Translation for Fair Facial Attribute Classification
As the social impact of visual recognition has been under scrutiny, several protected-attribute balanced datasets emerged to address dataset bias in imbalanced datasets. However, in facial attribute classification, datas…
AttributeClassificationFacial Attribute ClassificationFairness+1Deep Generative Views to Mitigate Gender Classification Bias Across Gender-Race Groups
Published studies have suggested the bias of automated face-based gender classification algorithms across gender-race groups. Specifically, unequal accuracy rates were obtained for women and dark-skinned people. To mitig…
ClassificationFacial Attribute ClassificationFairnessGender ClassificationDiscover and Mitigate Unknown Biases with Debiasing Alternate Networks
Deep image classifiers have been found to learn biases from datasets. To mitigate the biases, most previous methods require labels of protected attributes (e.g., age, skin tone) as full-supervision, which has two limitat…
Action RecognitionFacial Attribute ClassificationOut-of-Distribution GeneralizationLabel2Label: A Language Modeling Framework for Multi-Attribute Learning
Objects are usually associated with multiple attributes, and these attributes often exhibit high correlations. Modeling complex relationships between attributes poses a great challenge for multi-attribute learning. This …
AttributeClothing Attribute RecognitionFacial Attribute ClassificationLanguage Modeling+3