Edge-Guided Non-Local Fully Convolutional Network for Salient Object Detection

• Published in: IEEE transactions on circuits and systems for video technology Vol. 31; no. 2; pp. 582 - 593
• Main Authors: Tu, Zhengzheng, Ma, Yan, Li, Chenglong, Tang, Jin, Luo, Bin
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.02.2021; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Artificial neural networks; Context modeling; Convolution; Datasets; Deep learning; edge guidance; Feature extraction; Feature maps; fully convolutional neural network; Image edge detection; Machine learning; non-local features; Object detection; Object recognition; Salience; Saliency detection; Salient object detection

Fully Convolutional Neural Network (FCN) has been widely applied to salient object detection recently by virtue of high-level semantic feature extraction, but existing FCN-based methods still suffer from continuous striding and pooling operations leading to loss of spatial structure and blurred edge...