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Multi-Label Classification

multilabel graph classification with highest result

Papers

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Showing 126–150 of 1198 papers

TitleStatusHype
One Loss for All: Deep Hashing with a Single Cosine Similarity based Learning ObjectiveCode1
Frame-Level Multi-Label Playing Technique Detection Using Multi-Scale Network and Self-Attention MechanismCode1
FedMLP: Federated Multi-Label Medical Image Classification under Task HeterogeneityCode1
BCAmirs at SemEval-2024 Task 4: Beyond Words: A Multimodal and Multilingual Exploration of Persuasion in MemesCode1
Fixing Localization Errors to Improve Image ClassificationCode1
Gaussian Mixture Variational Autoencoder with Contrastive Learning for Multi-Label ClassificationCode1
Deep Label Distribution Learning with Label AmbiguityCode1
Attention-Driven Dynamic Graph Convolutional Network for Multi-Label Image RecognitionCode1
FLAIR: Federated Learning Annotated Image RepositoryCode1
Bridging the Gap between Model Explanations in Partially Annotated Multi-label ClassificationCode1
Can multi-label classification networks know what they don't know?Code1
Category-Wise Fine-Tuning for Image Multi-label Classification with Partial LabelsCode1
GKGNet: Group K-Nearest Neighbor based Graph Convolutional Network for Multi-Label Image RecognitionCode1
Exploration of Interpretability Techniques for Deep COVID-19 Classification using Chest X-ray ImagesCode1
CAVES: A Dataset to facilitate Explainable Classification and Summarization of Concerns towards COVID VaccinesCode1
VALUED -- Vision and Logical Understanding Evaluation DatasetCode1
CheXclusion: Fairness gaps in deep chest X-ray classifiersCode1
Are We Really Making Much Progress in Text Classification? A Comparative ReviewCode1
Class-Incremental Lifelong Learning in Multi-Label ClassificationCode1
Hierarchy-aware Biased Bound Margin Loss Function for Hierarchical Text ClassificationCode1
HiTIN: Hierarchy-aware Tree Isomorphism Network for Hierarchical Text ClassificationCode1
Co-attention network with label embedding for text classificationCode1
PatentSBERTa: A Deep NLP based Hybrid Model for Patent Distance and Classification using Augmented SBERTCode1
ImageNet-21K Pretraining for the MassesCode1
Prompt Tuned Embedding Classification for Multi-Label Industry Sector AllocationCode1
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All datasetsCheXpertMS-COCOPASCAL VOC 2007NUS-WIDEChestX-ray14OpenImages-v6PASCAL VOC 2012MLRSNetMRNetMIMIC-CXR

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CFT (ensemble) Macao Polytechnic UniversityAVERAGE AUC ON 14 LABEL0.93—Unverified
2Hierarchical-Learning-V1 (ensemble)AVERAGE AUC ON 14 LABEL0.93—Unverified
3DeepAUC-v1AVERAGE AUC ON 14 LABEL0.93—Unverified
4Conditional-Training-LSRAVERAGE AUC ON 14 LABEL0.93—Unverified
5Hierarchical-Learning-V4 (ensemble)AVERAGE AUC ON 14 LABEL0.93—Unverified
6YWW(ensemble)AVERAGE AUC ON 14 LABEL0.93—Unverified
7Hierarchical-Learning-V0 (ensemble)AVERAGE AUC ON 14 LABEL0.93—Unverified
8Conditional-Training-LSR-V1AVERAGE AUC ON 14 LABEL0.93—Unverified
9DeepCNNsGM(ensemble)AVERAGE AUC ON 14 LABEL0.93—Unverified
10Multi-Stage-Learning-CNN-V3 (ensemble)AVERAGE AUC ON 14 LABEL0.93—Unverified