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image-text matching

topic1 events
papersTODAY 04:00 UTC

arXiv Paper Proposes Human-Grounded Calibration for Long-Text Image-Text Matching

A new arXiv preprint addresses the difficulty of judging whether lengthy descriptive text actually matches an image, a task relevant to vision-language systems. The authors note that raw similarity scores from dual-encoder models are hard to interpret and propose calibrating them against human judgments. The work targets more reliable long-text image-text congruence scoring.

vision-language/benchmarks/evaluation/arxiv