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A Benchmark and Asymmetrical-Similarity Learning for Practical Image Copy Detection. (arXiv:2205.12358v1 [cs.CV])
May 26, 2022, 1:12 a.m. | Wenhao Wang, Yifan Sun, Yi Yang
cs.CV updates on arXiv.org arxiv.org
Image copy detection (ICD) aims to determine whether a query image is an
edited copy of any image from a reference set. Currently, there are very
limited public benchmarks for ICD, while all overlook a critical challenge in
real-world applications, i.e., the distraction from hard negative queries.
Specifically, some queries are not edited copies but are inherently similar to
some reference images. These hard negative queries are easily false recognized
as edited copies, significantly compromising the ICD accuracy. This observation …
More from arxiv.org / cs.CV updates on arXiv.org
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