Partially Relevant Video Retrieval

3 papers with code • 3 benchmarks • 3 datasets

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.

Most implemented papers

Partially Relevant Video Retrieval

HuiGuanLab/ms-sl 26 Aug 2022

To fill the gap, we propose in this paper a novel T2VR subtask termed Partially Relevant Video Retrieval (PRVR).

Dual Learning with Dynamic Knowledge Distillation for Partially Relevant Video Retrieval

huiguanlab/dl-dkd ICCV 2023

During the knowledge distillation, an inheritance student branch is devised to absorb the knowledge from the teacher model.

GMMFormer: Gaussian-Mixture-Model Based Transformer for Efficient Partially Relevant Video Retrieval

huangmozhi9527/GMMFormer 8 Oct 2023

Current PRVR methods adopt scanning-based clip construction to achieve explicit clip modeling, which is information-redundant and requires a large storage overhead.