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Richer Convolutional Features for Edge Detection
Yun Liu, Ming-Ming Cheng, Xiaowei Hu +2
In this paper, we propose an accurate edge detector using richer convolutional features (RCF). Since objects in nature images have various scales and aspect ratios, the automatical…
Bottom-Up Top-Down Cues for Weakly-Supervised Semantic Segmentation
Qinbin Hou, Puneet Kumar Dokania, Daniela Massiceti +3
We consider the task of learning a classifier for semantic segmentation using weak supervision in the form of image labels which specify the object classes present in the image. Ou…
FLIC: Fast Linear Iterative Clustering with Active Search
Jiaxing Zhao, Ren Bo, Qibin Hou +2
Benefiting from its high efficiency and simplicity, Simple Linear Iterative Clustering (SLIC) remains one of the most popular over-segmentation tools. However, due to explicit enfo…
Deeply supervised salient object detection with short connections
Qibin Hou, Ming-Ming Cheng, Xiao-Wei Hu +3
Recent progress on saliency detection is substantial, benefiting mostly from the explosive development of Convolutional Neural Networks (CNNs). Semantic segmentation and saliency d…