首页|New Findings on Robotics and Automation from Northeastern University Summarized (Efficient Saliency Encoding for Visual Place Recognition: Introducing the Light weight Pooling-centric Saliencyaware Vpr Method)
New Findings on Robotics and Automation from Northeastern University Summarized (Efficient Saliency Encoding for Visual Place Recognition: Introducing the Light weight Pooling-centric Saliencyaware Vpr Method)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in Robotic s - Robotics and Automation. According to news originating from Shenyang, People ’s Republic of China, by NewsRx correspondents, research stated, “The letter int roduces a novel Visual Place Recognition (VPR) method called Lightweight Pooling -centric Saliency-aware VPR (LPS-VPR), a high-performance VPR method capable of exploiting saliency information without computational burden. The key contributi on of the method is a pooling-based saliency encoder (PSE) that efficiently extr acts and integrates local context saliency cues into the image embedding, avoidi ng using computationally intensive operations such as attention for saliency cue s extraction.” Financial support for this research came from National Key Research and Developm ent Program of China.
ShenyangPeople’s Republic of ChinaAs iaRobotics and AutomationRoboticsNortheastern University
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