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Partially Relevant Video Retrieval

In the Partially Relevant Video Retrieval (PRVR) task, an untrimmed video is considered to be partially relevant w.r.t. a given textual query if it contains a moment relevant to the query. PRVR aims to retrieve such partially relevant videos from a large collection of untrimmed videos.

Papers

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Showing 1–8 of 8 papers

TitleStatusHype
GMMFormer v2: An Uncertainty-aware Framework for Partially Relevant Video RetrievalCode1
GMMFormer: Gaussian-Mixture-Model Based Transformer for Efficient Partially Relevant Video RetrievalCode1
Dual Learning with Dynamic Knowledge Distillation for Partially Relevant Video RetrievalCode1
Partially Relevant Video RetrievalCode1
Prototypes are Balanced Units for Efficient and Effective Partially Relevant Video Retrieval—0
Towards Efficient Partially Relevant Video Retrieval with Active Moment DiscoveringCode0
Event-aware Video Corpus Moment Retrieval—0
Vision-Language Models Learn Super Images for Efficient Partially Relevant Video Retrieval—0
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