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

Showing 110 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
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
Category-Prompt Refined Feature Learning for Long-Tailed Multi-Label Image ClassificationCode1
Boosting Multi-Label Image Classification with Complementary Parallel Self-DistillationCode1
CDUL: CLIP-Driven Unsupervised Learning for Multi-Label Image ClassificationCode1
Category Query Learning for Human-Object Interaction ClassificationCode1
Category-wise Fine-Tuning: Resisting Incorrect Pseudo-Labels in Multi-Label Image Classification with Partial LabelsCode1
Combining Metric Learning and Attention Heads For Accurate and Efficient Multilabel Image ClassificationCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1MoCo-v2 (ResNet50, fine tune)mAP (micro)91.8Unverified
2MoCo-v3 (ViT-S/16, fine tune)mAP (micro)89.9Unverified
3MoCo-v2 (ResNet18, fine tune)mAP (micro)89.3Unverified
4MAE (ViT-S/16, fine tune)mAP (micro)88.9Unverified
5DINO-MCmAP (micro)88.75Unverified
6WideResNet-B5-ECAFScore79Unverified
7ViTM/20FScore77.1Unverified
8ResNet50FScore76.8Unverified
9ResNet50mAP (macro)75.36Unverified
10MLPMixerFScore75.2Unverified
#ModelMetricClaimedVerifiedStatus
1MoCov3 (ViT-S/16)mAP (micro)89.3Unverified
2FG-MAE (ViT-S/16)mAP (micro)89.3Unverified
3MoCov2 (ResNet50)mAP (micro)88.7Unverified
4MAE (ViT-S/16)mAP (micro)88.6Unverified
5ViT-S/16mAP (micro)87.8Unverified
6ResNet50F1 Score76.8Unverified
#ModelMetricClaimedVerifiedStatus
1IDA-SwinL(H) 384mAP90.3Unverified
2ML-AGCNmean average precision86.9Unverified
3IDA-R101(H) 576mAP86.3Unverified
4IDA-R101(H)mAP84.8Unverified
#ModelMetricClaimedVerifiedStatus
1FG-MAE (ViT-S/16)mAP (micro)82.7Unverified
2MAE (ViT-S/16)mAP (micro)81.3Unverified
3ViT-S/16mAP (micro)79.5Unverified
#ModelMetricClaimedVerifiedStatus
1DINO-MCmean average precision84.2Unverified
#ModelMetricClaimedVerifiedStatus
1ResNet151Accuracy47.5Unverified
#ModelMetricClaimedVerifiedStatus
1ResNet101MAP96.8Unverified