Partial Multi-Label Learning via Label-Specific Feature Corrections

Information Science, Computer Science, Artificial Intelligence,
partial multi-label learning   label-specific features   feature corrections   multi-label learning   machine learning   meta-learning   weak supervision  

Frontier Research in Partial Multi-Label Learning: A New Method Based on Label-Specific Feature Corrections In recent years, partial multi-label learning (PML) has become a hot research topic in the field of machine learning. With the rise of crowdsourcing platforms, the cost of data annotation has dropped significantly, but the quality of annotati...

A Weakly Supervised Collaborative Procedure Alignment Framework for Procedural Video Analysis

Information Science, Electronic Information, Computer Science, Artificial Intelligence,
video understanding   correlation learning   instructional videos   procedure alignment   weak supervision   feature matching  

Achieving Procedure-Aware Instructional Video Correlation Learning Under Weak Supervision: Summary and Evaluation In recent years, instructional videos have garnered significant attention due to their goal-driven characteristics and intrinsic connections to human learning processes. Compared to general videos, instructional videos contain multiple ...