arXiv:2305.15679
공식 코드 · Papers with Code
A Similarity Alignment Model for Video Copy Segment Matching
원문 초록
With the development of multimedia technology, Video Copy Detection has been a crucial problem for social media platforms. Meta AI hold Video Similarity Challenge on CVPR 2023 to push the technology forward. In this report, we share our winner solutions on Matching Track. We propose a Similarity Alignment Model(SAM) for video copy segment matching. Our SAM exhibits superior performance compared to other competitors, with a 0.108 / 0.144 absolute improvement over the second-place competitor in Phase 1 / Phase 2. Code is available at https://github.com/FeipengMa6/VSC22-Submission/tree/main/VSC22-Matching-Track-1st.
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A Dual-level Detection Method for Video Copy Detection
Video Similarity and Alignment Learning on Partial Video Copy Detection
The 2023 Video Similarity Dataset and Challenge
3rd Place Solution to Meta AI Video Similarity Challenge
Feature-compatible Progressive Learning for Video Copy Detection
A Fast Partial Video Copy Detection Using KNN and Global Feature Database
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