Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Rajat Vikram Singh"'
Publikováno v:
Computer Vision – ECCV 2020 ISBN: 9783030585198
ECCV (17)
ECCV (17)
Anomaly localization is an important problem in computer vision which involves localizing anomalous regions within images with applications in industrial inspection, surveillance, and medical imaging. This task is challenging due to the small sample
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6fb0adcd7b3cdee7434c65773304f47a
https://doi.org/10.1007/978-3-030-58520-4_29
https://doi.org/10.1007/978-3-030-58520-4_29
Publikováno v:
CVPR
Incremental learning (IL) is an important task aimed at increasing the capability of a trained model, in terms of the number of classes recognizable by the model. The key problem in this task is the requirement of storing data (e.g. images) associate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::339f3fc4d80c0c2c4ba4e434982e1652
http://arxiv.org/abs/1811.08051
http://arxiv.org/abs/1811.08051
Autor:
Bo Liu, Dimitris N. Metaxas, Ziyan Wu, Kuan-Chuan Peng, Rajat Vikram Singh, Srikrishna Karanam, Lezi Wang
Publikováno v:
ICCV
Recent developments in gradient-based attention modeling have seen attention maps emerge as a powerful tool for interpreting convolutional neural networks. Despite good localization for an individual class of interest, these techniques produce attent
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::56b536fc2d143649d9fdb263b040085c
http://arxiv.org/abs/1811.07484
http://arxiv.org/abs/1811.07484