Original paper

PiCANet: Pixel-Wise Contextual Attention Learning for Accurate Saliency Detection

Volume: 29, Pages: 6438 - 6451
Published: Jan 1, 2020
Abstract
Existing saliency models typically incorporate contexts holistically. However, for each pixel, usually only part of its context region contributes to saliency prediction, while other parts are likely either noise or distractions. In this paper, we propose a novel pixel-wise contextual attention network (PiCANet) to selectively attend to informative context locations at each pixel. The proposed PiCANet generates an attention map over the...
Paper Details
Title
PiCANet: Pixel-Wise Contextual Attention Learning for Accurate Saliency Detection
Published Date
Jan 1, 2020
Volume
29
Pages
6438 - 6451
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