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Edge2Vec: A High Quality Embedding for the Jigsaw Puzzle Problem. (arXiv:2211.07771v1 [cs.CV])
Nov. 16, 2022, 2:15 a.m. | Daniel Rika, Dror Sholomon, Eli David, Nathan S. Netanyahu
cs.CV updates on arXiv.org arxiv.org
Pairwise compatibility measure (CM) is a key component in solving the jigsaw
puzzle problem (JPP) and many of its recently proposed variants. With the rapid
rise of deep neural networks (DNNs), a trade-off between performance (i.e.,
accuracy) and computational efficiency has become a very significant issue.
Whereas an end-to-end DNN-based CM model exhibits high performance, it becomes
virtually infeasible on very large puzzles, due to its highly intensive
computation. On the other hand, exploiting the concept of embeddings to
alleviate …
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