#multi-label classification

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4 papers match

cs.CV2026

Knowledge-guided Disentanglement with Atomic Actions for Action Recognition

Tianci Wu, Siqi Cao, Guangming Zhu +6

The paper introduces a framework that uses large language models to break down action labels into atomic actions and injects this semantic knowledge into video features to improve…

#action recognition#video understanding#knowledge-guided learning#disentanglement
cs.CV2026

Label-Decoupled Style Augmentation for Domain Generalization in Multi-Label Remote Sensing Scene Classification

Alaa Almouradi, Erchan Aptoula

The paper introduces a label‑decoupled style augmentation method that perturbs feature statistics only within label‑specific regions to improve domain generalization for multi‑labe…

#domain generalization#multi-label classification#remote sensing#style augmentation
cs.LG2026

MLPTR-CC: Multi-label Pathology Test Recommendation using Classifier Chains and SHAP

Abu Rafe Md Jamil, Nayan Malakar

The paper presents a multi‑label classification framework that recommends sets of pathology tests by modeling dependencies between tests with classifier chains and explains its pre…

#multi-label classification#classifier chains#pathology test recommendation#explainable ai
eess.IV2026

Reconfigurable Radiology Labels Without Relabeling

Jean-Benoit Delbrouck, Dave Van Veen, Akash Pattnaik +4

The paper introduces a pipeline that converts free‑text chest X‑ray reports into multi‑label matrices, enabling rapid reconfiguration of label schemas without re‑annotating the ent…

#radiology labeling#chest x-ray#label schema reconfiguration#free-text report parsing

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