🏃 Keep updating deep learning based multi-label image recognition (MLIR) methods with different settings.
Todo List:
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More Tags
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Performance Statistics
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Datasets
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Surveys
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Other Settings
- 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
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |