Multi-attention guided feature fusion network for salient object detection

Anni Li; JinQing Qi; Huchuan Lu

doi:10.1016/j.neucom.2020.06.021

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Multi-attention guided feature fusion network for salient object detection

Anni Li JinQing Qi Huchuan Lu

Year: 2020 Journal: Neurocomputing Vol: 411 Pages: 416-427 Publisher: Elsevier BV

DOI: 10.1016/j.neucom.2020.06.021

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Keywords:

Computer science Discriminative model Concatenation (mathematics) Feature (linguistics) Block (permutation group theory) Artificial intelligence Benchmark (surveying) Pattern recognition (psychology) Encoder Feature learning Focus (optics) Layer (electronics) Convolutional neural network Salient Object (grammar) Representation (politics) Machine learning

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Topics

Visual Attention and Saliency Detection

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Image and Video Retrieval Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Olfactory and Sensory Function Studies

Life Sciences → Neuroscience → Sensory Systems

Multi-attention guided feature fusion network for salient object detection

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