hard sample mining

Progressive Multi-modal Knowledge Distillation for Multi-spectral Object Re-identification AAAI 2026 SHaSaM: Submodular Hard Sample Mining for Fair Facial Attribute Recognition WACV 2026 A Unified Loss for Handling Inter-Class and Intra-Class Imbalance in Medical Image Segmentation AAAI 2025 Meta-Learning Dynamic Center Distance: Hard Sample Mining for Learning with Noisy Labels ICCV 2025 Take the Bull by the Horns: Learning to Segment Hard Samples CVPR 2025 Improving Generalization via Meta-Learning on Hard Samples CVPR 2024 LFME: A Simple Framework for Learning from Multiple Experts in Domain Generalization NeurIPS 2024 TopoFR: A Closer Look at Topology Alignment on Face Recognition NeurIPS 2024 Hard Sample Aware Network for Contrastive Deep Graph Clustering AAAI 2023 TransFace: Calibrating Transformer Training for Face Recognition from a Data-Centric Perspective ICCV 2023 Active Contrastive Set Mining for Robust Audio-Visual Instance Discrimination IJCAI 2022 Context-Aware Graph Convolution Network for Target Re-identification AAAI 2021 Deep Metric Learning with Graph Consistency 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 Large Scale Hard Sample Mining With Monte Carlo Tree Search CVPR 2016 Local Similarity-Aware Deep Feature Embedding NeurIPS 2016 Multi-stage Contextual Deep Learning for Pedestrian Detection ICCV 2013