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Overview of the proposed SCO-DCNN. It consists of three branches: Object-focus Branch, Spatial Context-aware Branch and Object-attentional Branch. ResNeXt-101 with feature pyramid network is used as the backbone to generate the feature maps. Then, in the Object-focus Branch, a set of bounding boxes are generated for regions containing objects. In the Spatial Context-aware Branch, an adaptive patch-expansion mechanism is designed to expand tightly cropped patches to include the background contextual information, while avoiding excessive inclusion of the unnecessary background to increase intra-class variations. In the Object-attentional Branch, the spatially close and semantically related objects are grouped to form object clusters, and the spatial semantic information within clusters is encoded using the proposed spatial semantic attentional network.

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