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pro vyhledávání: '"Ngan, King N."'
Images acquired by outdoor vision systems easily suffer poor visibility and annoying interference due to the rainy weather, which brings great challenge for accurately understanding and describing the visual contents. Recent researches have devoted g
Externí odkaz:
http://arxiv.org/abs/1909.11983
Class activation map (CAM) highlights regions of classes based on classification network, which is widely used in weakly supervised tasks. However, it faces the problem that the class activation regions are usually small and local. Although several e
Externí odkaz:
http://arxiv.org/abs/1909.09839
This paper studies few-shot segmentation, which is a task of predicting foreground mask of unseen classes by a few of annotations only, aided by a set of rich annotations already existed. The existing methods mainly focus the task on "\textit{how to
Externí odkaz:
http://arxiv.org/abs/1909.08754
In the field of objective image quality assessment (IQA), the Spearman's $\rho$ and Kendall's $\tau$ are two most popular rank correlation indicators, which straightforwardly assign uniform weight to all quality levels and assume each pair of images
Externí odkaz:
http://arxiv.org/abs/1705.05126
Autor:
Li, Hongliang, Ngan, King N.
Publikováno v:
In Journal of Visual Communication and Image Representation 2008 19(5):320-333
Publikováno v:
In Signal Processing: Image Communication 2008 23(9):699-710
Akademický článek
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Publikováno v:
In Signal Processing: Image Communication 2004 19(3):239-256