Multi-Label Image Classification
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Benchmarks
Most implemented
Deep Residual Learning for Image Recognition
ChestX-ray8: Hospital-scale Chest X-ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases
reBEN: Refined BigEarthNet Dataset for Remote Sensing Image Analysis
SSL4EO-S12: A Large-Scale Multi-Modal, Multi-Temporal Dataset for Self-Supervised Learning in Earth Observation
Improving Pairwise Ranking for Multi-label Image Classification
Papers
Rethinking Multi-Label Image Classification With Deep Learning: Taxonomy, Challenge, and Outlook
Multi-label image classification (MLIC), a fundamental task in computer vision, focuses on identifying multiple objects or concepts within an image, underpinning numerous read-world applications, such as autonomous drivi…
Multi-Label Image ClassificationAutonomous DrivingMAPLE: Multi-Path Adaptive Propagation with Level-Aware Embeddings for Hierarchical Multi-Label Image Classification
Hierarchical multi-label classification (HMLC) is essential for modeling structured label dependencies in remote sensing. Yet existing approaches struggle in multi-path settings, where images may activate multiple taxono…
Hierarchical Multi-label ClassificationMulti-Label Image ClassificationHELM: Hierarchical and Explicit Label Modeling with Graph Learning for Multi-Label Image Classification
Hierarchical multi-label classification (HMLC) is essential for modeling complex label dependencies in remote sensing. Existing methods, however, struggle with multi-path hierarchies where instances belong to multiple br…
Hierarchical Multi-label ClassificationMulti-Label Image ClassificationGraph LearningMAT-Agent: Adaptive Multi-Agent Training Optimization
Multi-label image classification demands adaptive training strategies to navigate complex, evolving visual-semantic landscapes, yet conventional methods rely on static configurations that falter in dynamic settings. We p…
Multi-Label Image ClassificationDomain GeneralizationData AugmentationLarge Language Model-Based Uncertainty-Adjusted Label Extraction for Artificial Intelligence Model Development in Upper Extremity Radiography
Objectives: To evaluate GPT-4o's ability to extract diagnostic labels (with uncertainty) from free-text radiology reports and to test how these labels affect multi-label image classification of musculoskeletal radiograph…
Multi-Label Image ClassificationMulti-Label ClassificationDual-View Alignment Learning with Hierarchical-Prompt for Class-Imbalance Multi-Label Classification
Real-world datasets often exhibit class imbalance across multiple categories, manifesting as long-tailed distributions and few-shot scenarios. This is especially challenging in Class-Imbalanced Multi-Label Image Classifi…
Multi-Label Image ClassificationFew-Shot Image ClassificationMulti-Label ClassificationObject Recognition