Weakly supervised multi-scale recurrent convolutional neural network for co-saliency detection and co-segmentation

Aditya Kompella; Raghavendra V. Kulkarni

doi:10.1007/s00521-019-04265-y

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Weakly supervised multi-scale recurrent convolutional neural network for co-saliency detection and co-segmentation

Aditya Kompella Raghavendra V. Kulkarni

Year: 2019 Journal: Neural Computing and Applications Vol: 32 (21)Pages: 16571-16588 Publisher: Springer Science+Business Media

DOI: 10.1007/s00521-019-04265-y

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Keywords:

Artificial intelligence Convolutional neural network Computer science Pattern recognition (psychology) Segmentation Feature (linguistics) Object detection Object (grammar) Image segmentation Image (mathematics) Salient Deep learning Feature extraction Computer vision

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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

Olfactory and Sensory Function Studies

Life Sciences → Neuroscience → Sensory Systems

Weakly supervised multi-scale recurrent convolutional neural network for co-saliency detection and co-segmentation

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