Multi-Label Classification
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Benchmarks
CheXpert
MS-COCO
PASCAL VOC 2007
NUS-WIDE
ChestX-ray14
OpenImages-v6
PASCAL VOC 2012
MLRSNet
MRNet
MIMIC-CXR
Most implemented
Densely Connected Convolutional Networks
node2vec: Scalable Feature Learning for Networks
From Softmax to Sparsemax: A Sparse Model of Attention and Multi-Label Classification
Learning to diagnose from scratch by exploiting dependencies among labels
SKEP: Sentiment Knowledge Enhanced Pre-training for Sentiment Analysis
Multi-Task Learning as Multi-Objective Optimization
Papers
Retrieval-Augmented Classification of Environmental Mitigations in Hydropower Licensing Documents
Identifying and classifying environmental mitigation obligations in Federal Energy Regulatory Commission hydropower licensing documents is a labor-intensive task requiring deep domain expertise. We formulate this as a mu…
Multi-Label ClassificationZero-shot GeneralizationKREL: Automatic Medical Coding via Knowledge-Guided Reasoning over Clinical Evidence with LLMs
Automatic Medical Coding (AMC), which assigns standardized International Classification of Diseases (ICD) codes to clinical notes, is essential for medical reimbursement, quality reporting, and clinical research. Existin…
Multi-Label ClassificationLightTeaNet: A Weakly Supervised Lightweight CNN for Multi-Label Tea Leaf Disease Detection and Localization
Tea is known as an important crop in many parts of South and Southeast Asia, yet the production of tea is still hampered by the multiple diseases that decrease the quantity and quality. Traditional methods of inspection,…
Multi-Label ClassificationObject DetectionExponential Convex Calibration Dimension for the Multi-Label Jaccard Measure
The per-instance Jaccard score, or intersection over union (IoU), is standard in multi-label classification and binary segmentation. With $s$ labels, its loss matrix has $2^s$ outcomes and reports. Under the convention $…
Multi-Label ClassificationDoes generative AI supersede supervised XMLC? A Benchmark Study on Automated Subject Indexing with German Scientific Literature
With a large controlled vocabulary as the label set, the task of automated subject indexing in a library can be understood as a multi-label classification task. If the set of subject terms is large, the problem fits the …
Multi-Label ClassificationLabel-Decoupled Style Augmentation for Domain Generalization in Multi-Label Remote Sensing Scene Classification
Multi-label classification assigns several co-occurring labels to each aerial scene, yet deployed models often encounter data distributions different from their training. Feature-statistics augmentation such as MixStyle,…
Multi-Label ClassificationDomain GeneralizationScene Classification