… decision-making actions and corresponding natural-language explanations based on semantic
scene … We use the semantic scene understanding module for visual feature extraction. …

… are the scene's constituent objects and 3D properties reflective of the layout of the scene,
or the distance of the observer to salient elements in scenes. Finally, semantic category and …

… a scene’s spatial properties and semantic content allows for … scene recognition is a hallmark
of human visual processing. Humans can accurately discriminate different semantic scene …

… scene, our network predicts a semantic scene graph that is structured, generalizable and
lightweight, summarizing the entire scene … Finally, we highlight the power of our semantic scene …

… semantic hierarchy learned for scene generation, which highly aligns with human perception.
Second, scene images are far more complex than faces due to the large variety of scene …

… That would require Decision Making System which will enable AVs to intuitively interpret the
… importantly scene recognition on streets & extracting relevant semantics from the scene is …

… In our method, the semantic map is used as a input of the decision maker for a proficient …
the flexibility given by our decision-making modules. POMDPs and semantic maps have been …

… scene images as bags of object semantics from an ImageNET CNN instead of its lower layer
activations. To leverage the superior quality of semantic … The semantic FV provides a better …

… However, extracting such semantics from satellite images … semantic scene interpretation
for change interpretation. Consequently, a strategy for semantic remote-sensing imagery scene …

… It intends to enable the users/decision makers to obtain increased understanding of the
situation and help make better choices to respond to it prudently. It is well understood that the …