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A Diffusion-based Data Generator for Training Object Recognition Models in Ultra-Range Distance
April 16, 2024, 4:48 a.m. | Eran Bamani, Eden Nissinman, Lisa Koenigsberg, Inbar Meir, Avishai Sintov
cs.CV updates on arXiv.org arxiv.org
Abstract: Object recognition, commonly performed by a camera, is a fundamental requirement for robots to complete complex tasks. Some tasks require recognizing objects far from the robot's camera. A challenging example is Ultra-Range Gesture Recognition (URGR) in human-robot interaction where the user exhibits directive gestures at a distance of up to 25~m from the robot. However, training a model to recognize hardly visible objects located in ultra-range requires an exhaustive collection of a significant amount of …
abstract arxiv cs.cv data diffusion example generator gesture recognition human object objects recognition robot robots tasks training type
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