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hard sample mining

18 papers

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Co-occurring keywords

face recognition (469) graph neural network (3962) medical image segmentation (351) person re-identification (555) pedestrian detection (120) feature embedding (312) object detection (2762) metric learning (1190) contrastive learning (4032) representation learning (6206)

Papers

SHaSaM: Submodular Hard Sample Mining for Fair Facial Attribute Recognition WACV 2026
Progressive Multi-modal Knowledge Distillation for Multi-spectral Object Re-identification AAAI 2026
Meta-Learning Dynamic Center Distance: Hard Sample Mining for Learning with Noisy Labels ICCV 2025
A Unified Loss for Handling Inter-Class and Intra-Class Imbalance in Medical Image Segmentation AAAI 2025
Take the Bull by the Horns: Learning to Segment Hard Samples CVPR 2025
LFME: A Simple Framework for Learning from Multiple Experts in Domain Generalization NIPS 2024
Improving Generalization via Meta-Learning on Hard Samples CVPR 2024
TopoFR: A Closer Look at Topology Alignment on Face Recognition NIPS 2024
TransFace: Calibrating Transformer Training for Face Recognition from a Data-Centric Perspective ICCV 2023
Hard Sample Aware Network for Contrastive Deep Graph Clustering AAAI 2023
Context-Aware Graph Convolution Network for Target Re-identification AAAI 2021
Localizing Visual Sounds the Hard Way CVPR 2021
CurricularFace: Adaptive Curriculum Learning Loss for Deep Face Recognition CVPR 2020
MVP Matching: A Maximum-Value Perfect Matching for Mining Hard Samples, With Application to Person Re-Identification ICCV 2019
SINT++: Robust Visual Tracking via Adversarial Positive Instance Generation CVPR 2018
Local Similarity-Aware Deep Feature Embedding NIPS 2016
Large Scale Hard Sample Mining With Monte Carlo Tree Search CVPR 2016
Multi-stage Contextual Deep Learning for Pedestrian Detection ICCV 2013