212 citations · 296 across the 4 of their papers we have counts for
4 papers
ImageSubject: A Large-scale Dataset for Subject Detection
Xin Miao, Jiayi Liu, Huayan Wang +1
Main subjects usually exist in the images or videos, as they are the objects that the photographer wants to highlight. Human viewers can easily identify them but algorithms often c…
Adaptive Context Network for Scene Parsing
Jun Fu, Jing Liu, Yuhang Wang +4
Recent works attempt to improve scene parsing performance by exploring different levels of contexts, and typically train a well-designed convolutional network to exploit useful con…
Dual Attention Network for Scene Segmentation
Jun Fu, Jing Liu, Haijie Tian +4
In this paper, we address the scene segmentation task by capturing rich contextual dependencies based on the selfattention mechanism. Unlike previous works that capture contexts by…
Stacked Deconvolutional Network for Semantic Segmentation
Jun Fu, Jing Liu, Yuhang Wang +1
Recent progress in semantic segmentation has been driven by improving the spatial resolution under Fully Convolutional Networks (FCNs). To address this problem, we propose a Stacke…