Multi Labels Learning

The papers of multi-label learning

• knowledge restore and transfer for multi-label class incremental learning [iccv2023][code]
• CDUL: CLIP-Driven Unsupervised Learning for Multi-Label Image Classification [ICCV2023][code]
• Learning in Imperfect Environment: Multi-Label Classification with Long-Tailed Distribution and Partial Labels [iccv2023]
• Multi-Label Self-Supervised Learning with Scene Images [ICCV2023][code]
• BoMD: Bag of Multi-label Descriptors for Noisy Chest X-ray Classification [ICCV2023][code]
• Multi-label Affordance Mapping from Egocentric Vision [ICCV2023][code]
• Scene-Aware Label Graph Learning for Multi-Label Image Classification [ICCV2023][code]
• Multi-Label Knowledge Distillation [ICCV2023][code]
• Affine-Consistent Transformer for Multi-Class Cell Nuclei Detection [ICCV2023][code]
• Query-Based Knowledge Sharing for Open-Vocabulary Multi-Label Classification [Arxiv][code]

Noisy Labels Learning

The papers of Noisy Labels. [2023]

• MixBag: Bag-Level Data Augmentation for Learning from Label Proportions

• Enhanced Meta Label Correction for Coping with Label Corruption [ICCV2023][code]

• Sample-wise Label Confidence Incorporation for Learning with Noisy Labels [ICCV2023][code]

• Label-Noise Learning with Intrinsically Long-Tailed Data [ICCV2023][code]

• Semi-Supervised Semantic Segmentation under Label Noise via Diverse Learning Groups [ICCV2023][code](

  Other's Repo for Noisy Label Learning. Advances-in-Label-Noise-Learning

[2022]

• Selective-Supervised Contrastive Learning with Noisy Labels [CVPR2022][code]

Labels with Other Direction

The papers of Labels with other research area.

• Token-Label_Alignment_for_Vision_Transformers [ICCV2023][code]
• PatchCT: Aligning Patch Set and Label Set with Conditional Transport for Multi-Label Image Classification [ICCV2023][code]
• Label_Shift_Adapter_for_Test-Time_Adaptation_under_Covariate_and_Label [ICCV2023][code]
• Label-Guided Knowledge Distillation for Continual Semantic Segmentation on 2D Images and 3D Point Clouds [ICCV2023][code]
• Ordinal Label Distribution Learning [ICCV2023][code]
• Model Calibration in Dense Classification with Adaptive Label Perturbation [ICCV2023][code]