Challenges and Methods

Current computer vision systems are closer to human intelligence when it comes to comprehending the visible world than before; however, their performance is hindered when objects are partially occluded. Since we live in a dynamic and complex environment, we encounter more occluded objects than fully visible ones. Therefore, instilling the capability of perceiving the partially visible objects into those vision systems is crucial. In this presentation, we delve into the key concepts of amodal completion and its challenges as well as recent advancements and ongoing research directions.