SOTAVerified

Multi-Label Image Classification

The Multi-Label Image Classification focuses on predicting labels for images in a multi-class classification problem where each image may belong to more than one class.

Papers

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Showing 1–50 of 124 papers

TitleStatusHype
Deep Residual Learning for Image RecognitionCode4
SSL4EO-S12: A Large-Scale Multi-Modal, Multi-Temporal Dataset for Self-Supervised Learning in Earth ObservationCode2
Category-wise Fine-Tuning: Resisting Incorrect Pseudo-Labels in Multi-Label Image Classification with Partial LabelsCode1
Visual Transformers with Primal Object Queries for Multi-Label Image ClassificationCode1
Semi-supervised Medical Image Classification with Relation-driven Self-ensembling ModelCode1
reBEN: Refined BigEarthNet Dataset for Remote Sensing Image AnalysisCode1
Multi-layered Semantic Representation Network for Multi-label Image ClassificationCode1
Leveraging Auxiliary Tasks with Affinity Learning for Weakly Supervised Semantic SegmentationCode1
Semantic-Aware Dual Contrastive Learning for Multi-label Image ClassificationCode1
Two-Stream Transformer for Multi-Label Image ClassificationCode1
Graph Attention Transformer Network for Multi-Label Image ClassificationCode1
ChestX-ray8: Hospital-scale Chest X-ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax DiseasesCode1
Causality Compensated Attention for Contextual Biased Visual RecognitionCode1
Residual Attention: A Simple but Effective Method for Multi-Label RecognitionCode1
LADI v2: Multi-label Dataset and Classifiers for Low-Altitude Disaster ImageryCode1
MlTr: Multi-label Classification with TransformerCode1
Multi-Label Image Classification via Knowledge Distillation from Weakly-Supervised DetectionCode1
Multi-Label Plant Species Classification with Self-Supervised Vision TransformersCode1
Reproducibility Study of CDUL: CLIP-Driven Unsupervised Learning for Multi-Label Image ClassificationCode1
Self-supervised Learning in Remote Sensing: A ReviewCode1
Simple and Robust Loss Design for Multi-Label Learning with Missing LabelsCode1
TAI++: Text as Image for Multi-Label Image Classification by Co-Learning Transferable PromptCode1
CDUL: CLIP-Driven Unsupervised Learning for Multi-Label Image ClassificationCode1
NOAH: Learning Pairwise Object Category Attentions for Image ClassificationCode1
Language-Guided Transformer for Federated Multi-Label ClassificationCode1
Deep Semantic Dictionary Learning for Multi-label Image ClassificationCode1
Boosting Multi-Label Image Classification with Complementary Parallel Self-DistillationCode1
Extending global-local view alignment for self-supervised learning with remote sensing imageryCode1
Discriminator-free Unsupervised Domain Adaptation for Multi-label Image ClassificationCode1
General Multi-label Image Classification with TransformersCode1
Combining Metric Learning and Attention Heads For Accurate and Efficient Multilabel Image ClassificationCode1
Domain Adaptation for Multi-label Image Classification: a Discriminator-free ApproachCode1
Benchmarking and scaling of deep learning models for land cover image classificationCode1
Category-Prompt Refined Feature Learning for Long-Tailed Multi-Label Image ClassificationCode1
Category Query Learning for Human-Object Interaction ClassificationCode1
Feature Guided Masked Autoencoder for Self-supervised Learning in Remote SensingCode1
Learning to Discover Multi-Class Attentional Regions for Multi-Label Image RecognitionCode1
Multi-Label Learning from Single Positive LabelsCode1
Distance-based Composable Representations with Neural Networks—0
Coarse to Fine: Multi-label Image Classification with Global/Local Attention—0
Deep View-Sensitive Pedestrian Attribute Inference in an end-to-end Model—0
A Deep Model for Partial Multi-Label Image Classification with Curriculum Based Disambiguation—0
BigEarthNet: A Large-Scale Benchmark Archive For Remote Sensing Image Understanding—0
HSVLT: Hierarchical Scale-Aware Vision-Language Transformer for Multi-Label Image Classification—0
Deep Dependency Networks for Multi-Label Classification—0
Learning from Noisy Labels with Noise Modeling Network—0
Learning Graph Structure for Multi-Label Image Classification via Clique Generation—0
Heterogeneous Visual Features Fusion via Sparse Multimodal Machine—0
Deep Learning based Multi-Label Image Classification of Protest Activities—0
Cross-Modality Attention with Semantic Graph Embedding for Multi-Label Classification—0
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All datasetsBigEarthNetBigEarthNet (official test set)MSCOCOBigEarthNet-S1 (official test set)BigEarthNet-10%VizWiz-ClassificationVOC2007

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1MoCo-v2 (ResNet50, fine tune)mAP (micro)91.8—Unverified
2MoCo-v3 (ViT-S/16, fine tune)mAP (micro)89.9—Unverified
3MoCo-v2 (ResNet18, fine tune)mAP (micro)89.3—Unverified
4MAE (ViT-S/16, fine tune)mAP (micro)88.9—Unverified
5DINO-MCmAP (micro)88.75—Unverified
6WideResNet-B5-ECAFScore79—Unverified
7ViTM/20FScore77.1—Unverified
8ResNet50FScore76.8—Unverified
9ResNet50mAP (macro)75.36—Unverified
10MLPMixerFScore75.2—Unverified
#ModelMetricClaimedVerifiedStatus
1MoCov3 (ViT-S/16)mAP (micro)89.3—Unverified
2FG-MAE (ViT-S/16)mAP (micro)89.3—Unverified
3MoCov2 (ResNet50)mAP (micro)88.7—Unverified
4MAE (ViT-S/16)mAP (micro)88.6—Unverified
5ViT-S/16mAP (micro)87.8—Unverified
6ResNet50F1 Score76.8—Unverified
#ModelMetricClaimedVerifiedStatus
1IDA-SwinL(H) 384mAP90.3—Unverified
2ML-AGCNmean average precision86.9—Unverified
3IDA-R101(H) 576mAP86.3—Unverified
4IDA-R101(H)mAP84.8—Unverified
#ModelMetricClaimedVerifiedStatus
1FG-MAE (ViT-S/16)mAP (micro)82.7—Unverified
2MAE (ViT-S/16)mAP (micro)81.3—Unverified
3ViT-S/16mAP (micro)79.5—Unverified
#ModelMetricClaimedVerifiedStatus
1DINO-MCmean average precision84.2—Unverified
#ModelMetricClaimedVerifiedStatus
1ResNet151Accuracy47.5—Unverified
#ModelMetricClaimedVerifiedStatus
1ResNet101MAP96.8—Unverified