Awesome Multi-label Image Recognition Paper List
🏃 Keep updating deep learning based multi-label image recognition (MLIR) methods with different settings.
Todo List:
- Multi-label Image Recognition
- Noisy-label Multi-label Image Recognition
- Partial-label Multi-label Image Recognition
- Zero-shot Multi-label Image Recognition
- Few-shot Multi-label Image Recognition
Multi-label Image Recognition
| Pub. |
Title |
Links |
| ICCV |
[TDRG] Transformer-based Dual Relation Graph for Multi-label Image Recognition |
Paper/Code |
| ICCV |
[ASL] Asymmetric Loss For Multi-Label Classification |
Paper/Code |
| ICCV |
[CSRA] Residual Attention: A Simple but Effective Method for Multi-Label Recognition |
Paper/Code |
| ACM MM |
[M3TR] M3TR: Multi-modal Multi-label Recognition with Transformer |
Paper/Code |
| CVPR |
[C-Trans] General Multi-label Image Classification with Transformers |
Paper/Code |
| TPAMI |
[P-GCN] Learning Graph Convolutional Networks for Multi-Label Recognition and Applications |
Paper/Code |
| TIP |
[MCAR] Learning to Discover Multi-Class Attentional Regions for Multi-Label Image Recognition |
Paper/Code |
| IJCAI |
[GM-MLIC] GM-MLIC: Graph Matching based Multi-Label Image Classification |
Paper/Code |
| AAAI |
[DSDL] Deep Semantic Dictionary Learning for Multi-label Image Classification |
Paper/Code |
| AAAI |
[MGTN] Modular Graph Transformer Networks for Multi-Label Image Classification |
Paper/Code |
| ICME |
Spatial-context-aware Deep Neural Network for Multi-class Image Classification |
Paper/Code |
| arxiv |
MlTr: Multi-label Classification with Transformer |
Paper/Code |
| arxiv |
Query2Label: A Simple Transformer Way to Multi-Label Classification |
Paper/Code |
| Pub. |
Title |
Links |
| CVPR |
[PLA] Orderless_Recurrent_Models_for_Multi-Label_Classification |
Paper/Code |
| ECCV |
[ADD-GCN] Attention-Driven Dynamic Graph Convolutional Network for Multi-Label Image Recognition |
Paper/Code |
| ACM MM |
[SGTN] Privacy-Preserving Visual Content Tagging using Graph Transformer Networks |
Paper/Code |
| ACM MM |
[AdaHGNN] AdaHGNN: Adaptive Hypergraph Neural Networks for Multi-Label Image Classification |
Paper/Code |
| AAAI |
[KSSNet] Multi-Label Classification with Label Graph Superimposing |
Paper/Code |
| AAAI |
[MS-CMA] Cross-Modality Attention with Semantic Graph Embedding for Multi-Label Classification |
Paper/Code |
| TMM |
[DER] Disentangling, Embedding and Ranking Label Cues for Multi-Label Image Recognition |
Paper/Code |
| TMM |
[TS-GCN] Joint Input and Output Space Learning for Multi-Label Image Classification |
Paper/Code |
| TPAMI |
[KGGR] Knowledge-Guided Multi-Label Few-Shot Learning for General Image Recognition |
Paper/Code |
| Pub. |
Title |
Links |
| CVPR |
[ML-GCN] Multi-Label Image Recognition with Graph Convolutional Networks |
Paper/Code |
| CVPR |
[VAC] Visual Attention Consistency under Image Transforms for Multi-Label Image Classification |
Paper/Code |
| ICCV |
[SSGRL] Learning Semantic-Specific Graph Representation for Multi-Label Image Recognition |
Paper/Code |
| ICME |
Multi-Label Image Recognition with Joint Class-Aware Map Disentangling and Label Correlation Embedding |
Paper/Code |
| TSCB |
Multi-label Image Classification via Feature/Label Co-Projection |
Paper/Code |
| Pub. |
Title |
Links |
| IJCAI |
[MsDPD] Multi-scale and Discriminative Part Detectors Based Features for Multi-label Image Classification |
Paper/Code |
| CVPR |
[SRN] Learning Spatial Regularization with Image-level Supervisions for Multi-label Image Classification |
Paper/Code |
| CVPR |
[CNN-RNN] CNN-RNN: A Unified Framework for Multi-label Image Classification |
Paper/Code |
| ICCV |
[WILDCAT] WILDCAT: Weakly Supervised Learning of Deep ConvNets for Image Classification, Pointwise Localization and Segmentation |
Paper/Code |
| ICCV |
[RDAR] Multi-label Image Recognition by Recurrently Discovering Attentional Regions |
Paper/Code |
| AAAI |
[Order-Free RNN] Order-Free RNN with Visual Attention for Multi-Label Classification |
Paper/Code |
| TPAMI |
[HCP] HCP: A Flexible CNN Framework for Multi-Label Image Classification |
Paper/Code |
Noisy-label Multi-label Image Recognition
| Pub. |
Title |
Links |
| CVPR |
Learning From Noisy Large-Scale Datasets With Minimal Supervision |
Paper/Code |
| CVPR |
Weakly Supervised Image Classification through Noise Regularization |
Paper/Code |
| ACCV |
Multi-label Learning from Noisy Labels with Non-linear Feature Transformation |
Paper/Code |
| ICMR |
Confidence-basedWeighted Loss for Multi-label Classification with Missing Labels |
Paper/Code |
Partial-label Multi-label Image Recognition
| Pub. |
Title |
Links |
| CVPR |
Learning a Deep ConvNet for Multi-label Classification with Partial Labels |
Paper/Code |
| CVPR |
Interactive Multi-Label CNN Learning with Partial Labels |
Paper/Code |
| NeurIPS |
Exploiting weakly supervised visual patterns to learn from partial annotations |
Paper/Code |
| AAAI |
Structured Semantic Transfer for Multi-Label Recognition with Partial Labels |
Paper/Code |
| AAAI |
Semantic-Aware Representation Blending for Multi-Label Image Recognition with Partial Labels |
Paper/Code |
Zero-shot Multi-label Image Recognition
| Pub. |
Title |
Links |
| CVPR |
Fast Zero-Shot Image Tagging |
Paper/Code |
| CVPR |
Multi-Label Zero-Shot Learning with Structured Knowledge Graphs |
Paper/Code |
| CVPR |
A Shared Multi-Attention Framework for Multi-Label Zero-Shot Learning |
Paper/Code |
| ICCV |
Semantic Diversity Learning for Zero-Shot Multi-label Classification |
Paper/Code |
Few-shot Multi-label Image Recognition
| Pub. |
Title |
Links |
| AAAI |
Inferring Prototypes for Multi-Label Few-Shot Image Classification with Word Vector Guided Attention |
Paper/Code |
| WACV |
Meta-Learning for Multi-Label Few-Shot Classification |
Paper/Code |