Cover Image

SHaSaM: Submodular Hard Sample Mining for Fair Facial Attribute Recognition

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Majee, Anay, Iyer, Rishabh
Format:	Preprint
Published:	2026
Subjects:	Computer Vision and Pattern Recognition Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

SCoRe: Submodular Combinatorial Representation Learning
by: Majee, Anay, et al.
Published: (2023)

Looking Beyond the Known: Towards a Data Discovery Guided Open-World Object Detection
by: Majee, Anay, et al.
Published: (2025)

SMILe: Leveraging Submodular Mutual Information For Robust Few-Shot Object Detection
by: Majee, Anay, et al.
Published: (2024)

SMA: Submodular Modality Aligner For Data Efficient Multimodal Learning
by: Pham, Truong, et al.
Published: (2026)

InSQuAD: In-Context Learning for Efficient Retrieval via Submodular Mutual Information to Enforce Quality and Diversity
by: Nanda, Souradeep, et al.
Published: (2025)

Distributionally Generative Augmentation for Fair Facial Attribute Classification
by: Zhang, Fengda, et al.
Published: (2024)

Balancing the Scales: Enhancing Fairness in Facial Expression Recognition with Latent Alignment
by: Rizvi, Syed Sameen Ahmad, et al.
Published: (2024)

Mitigating Bias in Facial Recognition Systems: Centroid Fairness Loss Optimization
by: Conti, Jean-Rémy, et al.
Published: (2025)

A Self-Supervised Learning Pipeline for Demographically Fair Facial Attribute Classification
by: Ramachandran, Sreeraj, et al.
Published: (2024)

Exp-Graph: How Connections Learn Facial Attributes in Graph-based Expression Recognition
by: Sharma, Nandani, et al.
Published: (2025)

Unified Knowledge Distillation Framework: Fine-Grained Alignment and Geometric Relationship Preservation for Deep Face Recognition
by: Mishra, Durgesh, et al.
Published: (2025)

EfficientSign: An Attention-Enhanced Lightweight Architecture for Indian Sign Language Recognition
by: Gupta, Rishabh, et al.
Published: (2026)

SaFL: Sybil-aware Federated Learning with Application to Face Recognition
by: Ghafourian, Mahdi, et al.
Published: (2023)

LabellessFace: Fair Metric Learning for Face Recognition without Attribute Labels
by: Ohki, Tetsushi, et al.
Published: (2024)

Are Sparse Neural Networks Better Hard Sample Learners?
by: Xiao, Qiao, et al.
Published: (2024)

Improving Generalization via Meta-Learning on Hard Samples
by: Jain, Nishant, et al.
Published: (2024)

Alleviating Catastrophic Forgetting in Facial Expression Recognition with Emotion-Centered Models
by: Laurensi, Israel A., et al.
Published: (2024)

Spatial Action Unit Cues for Interpretable Deep Facial Expression Recognition
by: Belharbi, Soufiane, et al.
Published: (2024)

Classes Are Not Equal: An Empirical Study on Image Recognition Fairness
by: Cui, Jiequan, et al.
Published: (2024)

The Easy Path to Robustness: Coreset Selection using Sample Hardness
by: Ramesh, Pranav, et al.
Published: (2025)

Accurately Classifying Out-Of-Distribution Data in Facial Recognition
by: Barone, Gianluca, et al.
Published: (2024)

STONE: A Submodular Optimization Framework for Active 3D Object Detection
by: Mao, Ruiyu, et al.
Published: (2024)

Worst-Group Equalized Odds Regularization for Multi-Attribute Fair Medical Image Classification
by: Kurian, Nikhil Cherian, et al.
Published: (2026)

Interpretable Image Emotion Recognition: A Domain Adaptation Approach Using Facial Expressions
by: Kumar, Puneet, et al.
Published: (2020)

Selective, Interpretable, and Motion Consistent Privacy Attribute Obfuscation for Action Recognition
by: Ilic, Filip, et al.
Published: (2024)

Facial Emotion Recognition on FER-2013 using an EfficientNetB2-Based Approach
by: Naik, Sahil, et al.
Published: (2026)

MMA-DFER: MultiModal Adaptation of unimodal models for Dynamic Facial Expression Recognition in-the-wild
by: Chumachenko, Kateryna, et al.
Published: (2024)

From Bias to Balance: Detecting Facial Expression Recognition Biases in Large Multimodal Foundation Models
by: Chhua, Kaylee, et al.
Published: (2024)

VariFace: Fair and Diverse Synthetic Dataset Generation for Face Recognition
by: Yeung, Michael, et al.
Published: (2024)

Informed Mixing -- Improving Open Set Recognition via Attribution-based Augmentation
by: Xu, Jiawen, et al.
Published: (2025)

Less is More: Fewer Interpretable Region via Submodular Subset Selection
by: Chen, Ruoyu, et al.
Published: (2024)

Enhancing Multi-Image Question Answering via Submodular Subset Selection
by: Sharma, Aaryan, et al.
Published: (2025)

Surveying Facial Recognition Models for Diverse Indian Demographics: A Comparative Analysis on LFW and Custom Dataset
by: Pant, Pranav, et al.
Published: (2024)

MI CAM: Mutual Information Weighted Activation Mapping for Causal Visual Explanations of Convolutional Neural Networks
by: Iyer, Ram S, et al.
Published: (2025)

MTCAE-DFER: Multi-Task Cascaded Autoencoder for Dynamic Facial Expression Recognition
by: Xiang, Peihao, et al.
Published: (2024)

Active Learning for Finely-Categorized Image-Text Retrieval by Selecting Hard Negative Unpaired Samples
by: Jo, Dae Ung, et al.
Published: (2024)

Prototypical Calibrating Ambiguous Samples for Micro-Action Recognition
by: Li, Kun, et al.
Published: (2024)

FairGen: Controlling Sensitive Attributes for Fair Generations in Diffusion Models via Adaptive Latent Guidance
by: Kang, Mintong, et al.
Published: (2025)

Adversarial Examples: Generation Proposal in the Context of Facial Recognition Systems
by: Fuster, Marina, et al.
Published: (2024)

SaFeR-VLM: Toward Safety-aware Fine-grained Reasoning in Multimodal Models
by: Yi, Huahui, et al.
Published: (2025)