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相关论文: Lightweight Mask R-CNN for Long-Range Wireless Pow…

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Resonant Beam Charging (RBC) is a promising multi-Watt and multi-meter wireless power transfer method with safety, mobility and simultaneously-charging capability. However, RBC system operation relies on information availability including…

信号处理 · 电气工程与系统科学 2020-04-28 Aozhou Wu , Qingqing Zhang , Wen Fang , Hao Deng , Sai Jiang , Qingwen Liu

As a long-range high-power wireless power transfer (WPT) technology, resonant beam charging (RBC) can transmit Watt-level power over long distance for the devices in the internet of things (IoT). Due to its open-loop architecture, RBC faces…

系统与控制 · 计算机科学 2018-09-26 Qingqing Zhang , Wen Fang , Mingliang Xiong , Qingwen Liu , Jun Wu , Pengfei Xia

Region-based Convolutional Neural Networks (R-CNNs) have achieved great success in the field of object detection. The existing R-CNNs usually divide a Region-of-Interest (ROI) into grids, and then localize objects by utilizing the spatial…

计算机视觉与模式识别 · 计算机科学 2018-02-13 Xiaochuan Fan , Hao Guo , Kang Zheng , Wei Feng , Song Wang

Power supply for Internet of Things (IoT) devices is one of the bottlenecks in IoT development. To provide perpetual power supply to IoT devices, resonant beam charging (RBC) is a promising safe, long-range and high-power wireless power…

信号处理 · 电气工程与系统科学 2018-07-17 Wei Wang , Qingqing Zhang , Hua Lin , Mingqing Liu , Xiaoyan Liang , Qingwen Liu

To enable electric vehicles (EVs) to access to the internet of intelligent vehicles (IoIV), charging EVs wirelessly anytime and anywhere becomes an urgent need. The resonant beam charging (RBC) technology can provide high-power and…

系统与控制 · 计算机科学 2018-09-26 Qingqing Zhang , Mingqing Liu , Xing Lin , Qingwen Liu , Jun Wu , Pengfei Xia

We present a conceptually simple, flexible, and general framework for object instance segmentation. Our approach efficiently detects objects in an image while simultaneously generating a high-quality segmentation mask for each instance. The…

计算机视觉与模式识别 · 计算机科学 2018-01-25 Kaiming He , Georgia Gkioxari , Piotr Dollár , Ross Girshick

Wireless Energy Transfer (WET) has recently emerged as an appealing solution for power supplying mobile / Internet of Things (IoT) devices. As an enabling WET technology, Resonant Beam Charging (RBC) is well-documented for its long-range,…

新兴技术 · 计算机科学 2020-04-21 Mingqing Liu , Gang Wang , Georgios B. Giannakis , Mingliang Xiong , Qingwen Liu , Hao Deng

Resonant beam charging (RBC) can realize wireless power transfer (WPT) from a transmitter to multiple receivers via resonant beams. The adaptive RBC (ARBC) can effectively improve its energy utilization. In order to support multi-user WPT…

信号处理 · 电气工程与系统科学 2018-09-27 Mingliang Xiong , Mingqing Liu , Qingqing Zhang , Qingwen Liu , Jun Wu , Pengfei Xia

Resonant Beam Charging (RBC) is the Wireless Power Transfer (WPT) technology, which can provide high-power, long-distance, mobile, and safe wireless charging for Internet of Things (IoT) devices. Supporting multiple IoT devices charging…

网络与互联网体系结构 · 计算机科学 2020-04-15 Wen Fang , Gang Wang , Georgios B. Giannakis , Qingwen Liu , Xin Wang , Hao Deng

Resonant Beam Charging (RBC) is a promising Wireless Power Transfer (WPT) technology to provide long-range, high-power, mobile and safe wireless power for the Internet of Things (IoT) devices. The Point-to-Multipoint (PtMP) RBC system can…

系统与控制 · 计算机科学 2018-09-26 Wen Fang , Qingqing Zhang , Mingqing Liu , Qingwen Liu , Pengfei Xia

Building a small-sized fast surveillance system model to fit on limited resource devices is a challenging, yet an important task. Convolutional Neural Networks (CNNs) have replaced traditional feature extraction and machine learning models…

计算机视觉与模式识别 · 计算机科学 2021-11-23 Ali Farouk Khalifa , Hesham N. Elmahdy , Eman Badr

R-CNN style methods are sorts of the state-of-the-art object detection methods, which consist of region proposal generation and deep CNN classification. However, the proposal generation phase in this paradigm is usually time consuming,…

计算机视觉与模式识别 · 计算机科学 2017-04-27 Guiying Li , Junlong Liu , Chunhui Jiang , Liangpeng Zhang , Minlong Lin , Ke Tang

This paper proposes a methodological approach with a transfer learning scheme for plastic waste bottle detection and instance segmentation using the \textit{mask region proposal convolutional neural network} (Mask R-CNN). Plastic bottles…

计算机视觉与模式识别 · 计算机科学 2022-04-18 Punitha Jaikumar , Remy Vandaele , Varun Ojha

The parsing of windows in building facades is a long-desired but challenging task in computer vision. It is crucial to urban analysis, semantic reconstruction, lifecycle analysis, digital twins, and scene parsing amongst other…

计算机视觉与模式识别 · 计算机科学 2021-07-22 Nils Nordmark , Mola Ayenew

Object Detection is critical for automatic military operations. However, the performance of current object detection algorithms is deficient in terms of the requirements in military scenarios. This is mainly because the object presence is…

计算机视觉与模式识别 · 计算机科学 2017-12-04 Shuo Liu , Zheng Liu

Tremendous efforts have been made to improve mask localization accuracy in instance segmentation. Modern instance segmentation methods relying on fully convolutional networks perform pixel-wise classification, which ignores object…

计算机视觉与模式识别 · 计算机科学 2020-07-20 Tianheng Cheng , Xinggang Wang , Lichao Huang , Wenyu Liu

Infrared small target detection is a challenging task due to its unique characteristics (e.g., small, dim, shapeless and changeable). Recently published CNN-based methods have achieved promising performance with heavy feature extraction and…

计算机视觉与模式识别 · 计算机科学 2025-10-31 Yongxian Liu , Boyang Li , Ting Liu , Zaiping Lin , Wei An

Resonant Beam Charging (RBC) is the Wireless Power Transfer (WPT) technology, which can provide high-power, long-distance, mobile, and safe wireless charging for Internet of Things (IoT) devices. Supporting multiple IoT devices charging…

系统与控制 · 计算机科学 2018-09-26 Wen Fang , Qingqing Zhang , Qingwen Liu , Jun Wu , Pengfei Xia

Recent years have seen impressive progress in visual recognition on many benchmarks, however, generalization to the real-world in out-of-distribution setting remains a significant challenge. A state-of-the-art method for robust visual…

计算机视觉与模式识别 · 计算机科学 2021-11-29 Sebastian Cygert , Andrzej Czyzewski

Mask R-CNN is a state-of-the-art network architecture for the detection and segmentation of object instances in the computer vision domain. In this contribution, it is used to localize, label and segment individual ribs in…

图像与视频处理 · 电气工程与系统科学 2019-08-23 Jöran Wessel , Mattias P. Heinrich , Jens von Berg , Astrid Franz , Axel Saalbach
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