Chetan L. Srinidhi

Consistency Driven Sequential Transformers Attention Model for Partially Observable Scenes

Most hard attention models initially observe a complete scene to locate and sense informative glimpses, and predict class-label of a scene based on glimpses. However, in many applications (e.g., aerial imaging), observing an entire scene is not always feasible due to the limited time and resources a…