首页|Recent Findings in Robotics Described by Researchers from QILU University of Technology (Tecd_attention: Texture-enhanced and Cross-domain Attention Modeling for Visual Place Recognition)
Recent Findings in Robotics Described by Researchers from QILU University of Technology (Tecd_attention: Texture-enhanced and Cross-domain Attention Modeling for Visual Place Recognition)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Robotics is the subjec t of a report. According to news reporting out of Jinan, People's Republic of Ch ina, by NewsRx editors, research stated, 'Visual place recognition (VPR) is a ch allenging task for visual computing in the field of robot navigation. However, m ost of the existing methods fail to learn the most salient features of place ima ges by simple CNN feature or popular Transformer feature due to the inconsistenc y problem commonly existing in VPR datasets, which limits the robustness and int erpretability of the model.'
JinanPeople's Republic of ChinaAsiaEmerging TechnologiesMachine LearningRobotRoboticsQILU University of Te chnology
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