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Border-SegGCN: Improving Semantic Segmentation by Refining the Border Outline using Graph Convolutional Network
We present Border-SegGCN, a novel architecture to improve semantic segmentation by refining the border outline using graph convolutional networks (GCN).
BGT-Net: Bidirectional GRU Transformer Network for Scene Graph Generation
Scene graph generation (SGG) aims to identify the objects and their relationships.
Res3ATN -- Deep 3D Residual Attention Network for Hand Gesture Recognition in Videos
Based on the stacked multiple attention blocks, we build a 3D network which generates different features at each attention block.
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