BASNet: Boundary-Aware Salient Object Detection

Deep Convolutional Neural Networks have been adopted for salient object detection and achieved the state-of-the-art performance. Most of the previous works however focus on region accuracy but not on the boundary quality. In this paper, we propose a predict-refine architecture, BASNet, and a new hyb...

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Veröffentlicht in:	Proceedings (IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Online) S. 7471 - 7481
Hauptverfasser:	Qin, Xuebin, Zhang, Zichen, Huang, Chenyang, Gao, Chao, Dehghan, Masood, Jagersand, Martin
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.06.2019
Schlagworte:	Accuracy Computer vision Convolutional neural networks Deep Learning ; Vision Applications and Systems Entropy Graphics processing units Grouping and Shape Image segmentation Network architecture Object detection Pattern recognition Segmentation Training
ISSN:	1063-6919
Online-Zugang:	Volltext
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