VALUED -- Vision and Logical Understanding Evaluation Dataset

Starting with early successes in computer vision tasks, deep learning based techniques have since overtaken state of the art approaches in a multitude of domains. However, it has been demonstrated time and again that these techniques fail to capture semantic context and logical constraints, instead often relying on spurious correlations to arrive at the answer. Since application of deep learning techniques to critical scenarios are dependent on adherence to domain specific constraints, several attempts have been made to address this …

art computer computer vision constraints context correlations cs.ai cs.cv dataset deep learning domains evaluation semantic state state of the art tasks understanding vision