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Found 3 papers, 2 papers with code
Overcoming Overconfidence for Active Learning
Active learning is a prominent approach for addressing this issue, where valuable data for labeling is selected through a model and utilized to iteratively adjust the model.
VVS: Video-to-Video Retrieval with Irrelevant Frame Suppression
In content-based video retrieval (CBVR), dealing with large-scale collections, efficiency is as important as accuracy; thus, several video-level feature-based studies have actively been conducted.
Ranked #12 on
Video Retrieval
on FIVR-200K
Exploring the Temporal Cues to Enhance Video Retrieval on Standardized CDVA
As the demand for large-scale video analysis increases, video retrieval research is also becoming more active.
Ranked #8 on
Video Retrieval
on FIVR-200K
