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Research questionHow can text-video retrieval preserve temporal structure when matching queries to heterogeneous video frames?Videos contain changing appearance, motion, and semantic transitions that a single pooled representation can obscure. This makes it difficult to align a natural-language query with the relevant temporal content.
AI
Computer Vision
Image & Video Processing
Information Retrieval
Multimodal Models
Latest papersRecent research connected to this question, newest first.TAME: Temporal-Aware Mixture-of-Experts for Text-Video RetrievalThe source concerns a CLIP-based text-video retrieval system using temporal modeling and reports results on MSR-VTT, DiDeMo, MSVD, LSMDC, and ActivityNet. Evidence is limited to benchmark evaluations and comparisons with CLIP-based baselines.research paper · Sep 2, 2026
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