Papers Partially Relevant Video Retrieval
“Partially Relevant Video Retrieval” 태그가 달린 논문 17편 · 필터 해제
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 DistillationEnhancing Partially Relevant Video Retrieval with Robust Alignment Learning
Partially Relevant Video Retrieval (PRVR) aims to retrieve untrimmed videos partially relevant to a given query. The core challenge lies in learning robust query-video alignment against spurious semantic correlations ari…
Partially Relevant Video RetrievalVideo AlignmentProPy: Building Interactive Prompt Pyramids upon CLIP for Partially Relevant Video Retrieval
Partially Relevant Video Retrieval (PRVR) is a practical yet challenging task that involves retrieving videos based on queries relevant to only specific segments. While existing works follow the paradigm of developing mo…
Partially Relevant Video RetrievalHLFormer: Enhancing Partially Relevant Video Retrieval with Hyperbolic Learning
Partially Relevant Video Retrieval (PRVR) addresses the critical challenge of matching untrimmed videos with text queries describing only partial content. Existing methods suffer from geometric distortion in Euclidean sp…
Partially Relevant Video RetrievalPrototypes are Balanced Units for Efficient and Effective Partially Relevant Video Retrieval
In a retrieval system, simultaneously achieving search accuracy and efficiency is inherently challenging. This challenge is particularly pronounced in partially relevant video retrieval (PRVR), where incorporating more d…
Partially Relevant Video RetrievalRetrievalVideo RetrievalVideo UnderstandingTowards Efficient Partially Relevant Video Retrieval with Active Moment Discovering
Partially relevant video retrieval (PRVR) is a practical yet challenging task in text-to-video retrieval, where videos are untrimmed and contain much background content. The pursuit here is of both effective and efficien…
Partially Relevant Video RetrievalRetrievalText to Video RetrievalVideo RetrievalGMMFormer v2: An Uncertainty-aware Framework for Partially Relevant Video Retrieval
Given a text query, partially relevant video retrieval (PRVR) aims to retrieve untrimmed videos containing relevant moments. Due to the lack of moment annotations, the uncertainty lying in clip modeling and text-clip cor…
Partially Relevant Video RetrievalRetrievalVideo RetrievalEvent-aware Video Corpus Moment Retrieval
Video Corpus Moment Retrieval (VCMR) is a practical video retrieval task focused on identifying a specific moment within a vast corpus of untrimmed videos using the natural language query. Existing methods for VCMR typic…
Contrastive LearningMoment RetrievalPartially Relevant Video RetrievalRetrieval+2Vision-Language Models Learn Super Images for Efficient Partially Relevant Video Retrieval
In this paper, we propose an efficient and high-performance method for partially relevant video retrieval, which aims to retrieve long videos that contain at least one moment relevant to the input text query. The challen…
Image RetrievalPartially Relevant Video RetrievalRetrievalVideo RetrievalGMMFormer: Gaussian-Mixture-Model Based Transformer for Efficient Partially Relevant Video Retrieval
Given a text query, partially relevant video retrieval (PRVR) seeks to find untrimmed videos containing pertinent moments in a database. For PRVR, clip modeling is essential to capture the partial relationship between te…
Partially Relevant Video RetrievalRetrievalVideo RetrievalDual Learning with Dynamic Knowledge Distillation for Partially Relevant Video Retrieval
Almost all previous text-to-video retrieval works assume that videos are pre-trimmed with short durations. However, in practice, videos are generally untrimmed containing much background content. In this work, we inv…
Knowledge DistillationLanguage ModellingPartially Relevant Video RetrievalRetrieval+2Partially Relevant Video Retrieval
Current methods for text-to-video retrieval (T2VR) are trained and tested on video-captioning oriented datasets such as MSVD, MSR-VTT and VATEX. A key property of these datasets is that videos are assumed to be temporall…
Moment RetrievalMultiple Instance LearningPartially Relevant Video RetrievalRetrieval+4