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pro vyhledávání: '"Namyup Kim"'
This paper presents the first attempt to learn semantic boundary detection using image-level class labels as supervision. Our method starts by estimating coarse areas of object classes through attentions drawn by an image classification network. Sinc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d7880ae47a83808551f275712329ee70
http://arxiv.org/abs/2212.07579
http://arxiv.org/abs/2212.07579
Publikováno v:
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
Referring image segmentation is an advanced semantic segmentation task where target is not a predefined class but is described in natural language. Most of existing methods for this task rely heavily on convolutional neural networks, which however ha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4d430e1509b801b880111598cf428847
Publikováno v:
Computer Vision – ECCV 2020 ISBN: 9783030585440
ECCV (9)
ECCV (9)
Despite the great advances in visual recognition, it has been witnessed that recognition models trained on clean images of common datasets are not robust against distorted images in the real world. To tackle this issue, we present a Universal and Rec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::54007a3826ecbe7adf3b0c9599d4bf34
https://doi.org/10.1007/978-3-030-58545-7_43
https://doi.org/10.1007/978-3-030-58545-7_43