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pro vyhledávání: '"Pedro Savarese"'
Publikováno v:
CVPR
We study image segmentation from an information-theoretic perspective, proposing a novel adversarial method that performs unsupervised segmentation by partitioning images into maximally independent sets. More specifically, we group image pixels into
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1d70014b3cc876dbba6404ae0e39e80d
Publikováno v:
BRACIS
With the recent progress in machine learning, boosted by techniques such as deep learning, many tasks can be successfully solved once a large enough dataset is available for training. Nonetheless, human-annotated datasets are often expensive to produ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cabb381a4ac223fe83683ec31f7d06e8
http://arxiv.org/abs/1908.05758
http://arxiv.org/abs/1908.05758
Publikováno v:
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining.
Structural identity is a concept of symmetry in which network nodes are identified according to the network structure and their relationship to other nodes. Structural identity has been studied in theory and practice over the past decades, but only r