AI RESEARCH
Knowledge-Refined Dual Context-Aware Network for Partially Relevant Video Retrieval
arXiv CS.CV
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ArXi:2603.23902v1 Announce Type: new 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 overlook semantic focus and event correlations. We present KDC-Net, a Knowledge-Refined Dual Context-Aware Network that tackles these issues from both textual and visual perspectives. On the text side, a Hierarchical Semantic Aggregation module captures and adaptively fuses multi-scale phrase cues to enrich query semantics.