Recurrent 3D attentional networks for end-to-end active object recognition
Sign Up to like & getrecommendations! Published in 2019 at "Computational Visual Media"
DOI: 10.1007/s41095-019-0135-2
Abstract: Active vision is inherently attention-driven: an agent actively selects views to attend in order to rapidly perform a vision task while improving its internal representation of the scene being observed. Inspired by the recent success… read more here.
Keywords: active object; recurrent attentional; object recognition; recognition ... See more keywords
Active Object Detection Based on a Novel Deep Q-Learning Network and Long-Term Learning Strategy for the Service Robot
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Industrial Electronics"
DOI: 10.1109/tie.2021.3090707
Abstract: This article focuses on active object detection (AOD), one of the greatest challenges in the robotics field. A novel deep-Q-learning-network-based approach is proposed to utilize more useful status information for enhancing the training efficiency and… read more here.
Keywords: active object; deep learning; strategy; novel deep ... See more keywords
Active Object Discovery and Localization Using Sound-Induced Attention
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2020.3000240
Abstract: Industrial intelligent devices are usually equipped with both microphones and cameras to perceive and understand the physical world. Though visual object detection technology has achieved a great success, its combination with other sensing modalities remains… read more here.
Keywords: object discovery; sound induced; active object; induced attention ... See more keywords