Partially Relevant Video Retrieval
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Benchmarks
Most implemented
Towards Efficient Partially Relevant Video Retrieval with Active Moment Discovering
GMMFormer v2: An Uncertainty-aware Framework for Partially Relevant Video Retrieval
GMMFormer: Gaussian-Mixture-Model Based Transformer for Efficient Partially Relevant Video Retrieval
Dual Learning with Dynamic Knowledge Distillation for Partially Relevant Video Retrieval
Partially Relevant Video Retrieval
Papers
Intrinsic Temporal Adaptation of CLIP for Partially Relevant Video Retrieval
Partially Relevant Video Retrieval (PRVR) aims to retrieve untrimmed videos that contain moments relevant to a text query. Since the target moment occupies only a portion of the video, PRVR requires retrieval based on fi…
Partially Relevant Video RetrievalRevisiting Uncertainty: On Evidential Learning for Partially Relevant Video Retrieval
Partially relevant video retrieval aims to retrieve untrimmed videos using text queries that describe only partial content. However, the inherent asymmetry between brief queries and rich video content inevitably introduc…
Partially Relevant Video RetrievalImagine Before Concentration: Diffusion-Guided Registers Enhance Partially Relevant Video Retrieval
Partially Relevant Video Retrieval (PRVR) aims to retrieve untrimmed videos based on text queries that describe only partial events. Existing methods suffer from incomplete global contextual perception, struggling with q…
Partially Relevant Video RetrievalRepresentation LearningKnowledge-Refined Dual Context-Aware Network for Partially Relevant Video Retrieval
Retrieving partially relevant segments from untrimmed videos remains difficult due to two persistent challenges: the mismatch in information density between text and video segments, and limited attention mechanisms that …
Partially Relevant Video RetrievalMitigating Semantic Collapse in Partially Relevant Video Retrieval
Partially Relevant Video Retrieval (PRVR) seeks videos where only part of the content matches a text query. Existing methods treat every annotated text-video pair as a positive and all others as negatives, ignoring the r…
Partially Relevant Video RetrievalVideo AlignmentDual Learning with Dynamic Knowledge Distillation and Soft Alignment for Partially Relevant Video Retrieval
Almost all previous text-to-video retrieval works ideally assume that videos are pre-trimmed with short durations containing solely text-related content. However, in practice, videos are typically untrimmed in long durat…
Partially Relevant Video RetrievalKnowledge Distillation