Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Yin, Yufei"'
Recent progress in weakly supervised object detection is featured by a combination of multiple instance detection networks (MIDN) and ordinal online refinement. However, with only image-level annotation, MIDN inevitably assigns high scores to some un
Externí odkaz:
http://arxiv.org/abs/2308.05991
This study introduces an efficacious approach, Masked Collaborative Contrast (MCC), to highlight semantic regions in weakly supervised semantic segmentation. MCC adroitly draws inspiration from masked image modeling and contrastive learning to devise
Externí odkaz:
http://arxiv.org/abs/2305.08491
Contour-based instance segmentation has been actively studied, thanks to its flexibility and elegance in processing visual objects within complex backgrounds. In this work, we propose a novel deep network architecture, i.e., PolySnake, for generic co
Externí odkaz:
http://arxiv.org/abs/2301.08898
Autor:
Yin, Yufei1 (AUTHOR), Cao, Kexin2 (AUTHOR) kcao3617@uni.sydney.edu.au
Publikováno v:
PLoS ONE. 7/3/2024, Vol. 19 Issue 7, p1-19. 19p.
Open-set panoptic segmentation (OPS) problem is a new research direction aiming to perform segmentation for both \known classes and \unknown classes, i.e., the objects ("things") that are never annotated in the training set. The main challenges of OP
Externí odkaz:
http://arxiv.org/abs/2207.02504
Publikováno v:
In Optics and Laser Technology January 2025 180
Akademický článek
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Contour-based instance segmentation has been actively studied, thanks to its flexibility and elegance in processing visual objects within complex backgrounds. In this work, we propose a novel deep network architecture, i.e., PolySnake, for contour-ba
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e287a85da3463edb617e89c5eb91470d
http://arxiv.org/abs/2301.08898
http://arxiv.org/abs/2301.08898
Publikováno v:
International Journal of Environmental Research & Public Health; Feb2023, Vol. 20 Issue 3, p2621, 23p
Akademický článek
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