Adaptive Ladder Loss for Learning Coherent Visual-Semantic Embedding
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DOI: 10.1109/tmm.2021.3139210
Abstract: For visual-semantic embedding, the existing methods normally treat the relevance between queries and candidates in a bipolar way – relevant or irrelevant, and all “irrelevant” candidates are uniformly pushed away from the query by an… read more here.
Keywords: relevance; semantic embedding; visual semantic; ladder loss ... See more keywords