Open AccessNegative Sample Matters: A Renaissance of Metric Learning for Temporal Grounding
Author(s) -
Zhenzhi Wang,
Limin Wang,
Tao Wu,
Tianhao Li,
Gangshan Wu
Publication year - 2022
Publication title -
proceedings of the aaai conference on artificial intelligence
Language(s) - English
Resource type - Journals
eISSN - 2374-3468
pISSN - 2159-5399
DOI - 10.1609/aaai.v36i3.20163
Subject(s) - computer science , mutual information , metric (unit) , embedding , feature learning , matching (statistics) , artificial intelligence , representation (politics) , similarity (geometry) , fidelity , mismatch negativity , machine learning , pattern recognition (psychology) , mathematics , image (mathematics) , psychology , telecommunications , statistics , operations management , electroencephalography , psychiatry , politics , political science , law , economics
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