首页|Studies from China University of Petroleum (East China) Yield New Data on Robotics and Automation (Transcodnet: Underwater Transparently Camouflaged Object Detection Via Rgb and Event Frames Collaboration)
Studies from China University of Petroleum (East China) Yield New Data on Robotics and Automation (Transcodnet: Underwater Transparently Camouflaged Object Detection Via Rgb and Event Frames Collaboration)
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NETL
NSTL
IEEE
Current study results on Robotics - Robotics and Automation have been published. According to news reporting originating from Shandong, People's Republic of China, by NewsRx correspondents, research stated, “Underwater transparently camouflaged organisms can be perfectly 'invisible' in the ocean to avoid the capture of predators. Due to the blurry contour boundaries of their bodies, obtaining their boundary features and determining their specific positions are challenging for detection tasks.” Financial support for this research came from National Key Ramp;D Program of China. Our news editors obtained a quote from the research from the China University of Petroleum (East China), “To address this issue, first, we propose a large-scale underwater transparently camouflaged object dataset, termed Aqua-Eye, which is obtained from event data and contains five types of underwater transparent organisms, with a total of 6497 annotated images. Second, to evaluate the effectiveness of this dataset, we propose a simple and effective detection network termed underwater Transparently Camouflaged Object Detection Network (TransCODNet), which can obtain local features and specific locations of targets, providing a better detection method for underwater transparently camouflaged organisms. In this letter, we performed ablation study and nine representative deep learning algorithms were evaluated based on the dataset.”
ShandongPeople's Republic of ChinaAsiaRobotics and AutomationRoboticsChina University of Petroleum (East China)
NETL
NSTL
IEEE
