CoSal2015
Introduced by Dingwen Zhang et al. in Detection of Co-salient Objects by Looking Deep and Wide
Cosal2015 is a large-scale dataset for co-saliency detection which consists of 2,015 images of 50 categories, and each group suffers from various challenging factors such as complex environments, occlusion issues, target appearance variations and background clutters, etc. All these increase the difficulty for accurate co-saliency detection.
Source: Adaptive Graph Convolutional Network with Attention Graph Clustering for Co-saliency DetectionBenchmarks
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CoSal2015
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DMT
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Papers
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