Residual attentive feature learning network for salient object detection

Qing Zhang; Yanjiao Shi; Xueqin Zhang; Liqian Zhang

doi:10.1016/j.neucom.2022.06.052

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Residual attentive feature learning network for salient object detection

Qing Zhang Yanjiao Shi Xueqin Zhang Liqian Zhang

Year: 2022 Journal: Neurocomputing Vol: 501 Pages: 741-752 Publisher: Elsevier BV

DOI: 10.1016/j.neucom.2022.06.052

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Keywords:

Computer science Artificial intelligence Salient Feature (linguistics) Residual Pyramid (geometry) Pattern recognition (psychology) Feature learning Benchmark (surveying) Convolutional neural network Context (archaeology) Object detection Feature extraction Computer vision Mathematics Algorithm

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Visual Attention and Saliency Detection

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Neural Network Applications

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Face Recognition and Perception

Life Sciences → Neuroscience → Cognitive Neuroscience

Residual attentive feature learning network for salient object detection

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