Prediction of action and spatial visual relationships in images between objects in the VRD-Dataset. It works in six phases: 1). Date pre-processing and augmentation using clustering 2). Object detection through which buildinga fully connected graph 3). Features generation- visual, semantic, spatial 4). Heatmap generation forevery relationship 5). Predicate detection using structural ranking loss
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HimangiM/Scene-Graph-Generation
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Prediction of action and spatial visual relationships in images between objects in the VRD-Dataset using visual, semantic, spatial, and heatmap features with structual ranking loss
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