Learn from Unlabeled Videos for Near-duplicate Video Retrieval
Author:
Affiliation:
1. Peking University, Beijing, China
2. Alibaba Group, Hangzhou, China
Funder
National Natural Science Foundation of China
National Key R&D Program of China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3477495.3532010
Reference37 articles.
1. SVD: A Large-Scale Short Video Dataset for Near-Duplicate Video Retrieval
2. FIVR: Fine-Grained Incident Video Retrieval
3. Video Similarity and Alignment Learning on Partial Video Copy Detection
4. Content-based video retrieval
5. Improving Video Retrieval by Adaptive Margin
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1. 3D-CSL: Self-Supervised 3D Context Similarity Learning for Near-Duplicate Video Retrieval;2023 IEEE International Conference on Image Processing (ICIP);2023-10-08
2. Self-Supervised Video Similarity Learning;2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW);2023-06
3. A Near-Duplicate Video Cleaning Method Based on AFENet Adaptive Clustering;2023 8th International Conference on Intelligent Computing and Signal Processing (ICSP);2023-04-21
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