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北京航空航天大学 [61]

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期刊论文 [31]

会议论文 [30]

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浏览/检索结果: 共61条，第1-10条

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限定条件	专题：北京航空航天大学第一署名单位第一作者单位通讯作者单位

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	A deep automated skeletal bone age assessment model via region-based convolutional neural network 期刊论文 Future Generation Computer Systems, 2019, 卷号: 98, 页码: 54-59 作者: Liang, B.; Zhai, Y.; Tong, C.; Zhao, J.; Li, J. 收藏 \| 浏览/下载：24/0 \| 提交时间：2019/12/30 Cartilage Convolution Deep learning Diagnosis Forecasting Image segmentation Medical problems Musculoskeletal system Neural networks Object detection 10-fold cross-validation Biomedicine Bone age assessment Convolutional networks Convolutional neural network Learning techniques Mean absolute error Ossification center Bone
	High-Performance Detection of Concealed Forbidden Objects on Human Body with Deep Neural Networks Based on Passive Millimeter Wave and Visible Imagery 期刊论文 JOURNAL OF INFRARED MILLIMETER AND TERAHERTZ WAVES, 2019, 卷号: 40, 页码: 314-347 作者: Guo, Lin; Qin, Shiyin 收藏 \| 浏览/下载：12/0 \| 提交时间：2019/12/30 Passive millimeter wave imagery Concealed forbidden object detection Deep neural networks Deep learning Semantic segmentation Security check
	Object detection and tracking under Complex environment using deep learning-based LPM 期刊论文 IET COMPUTER VISION, 2019, 卷号: 13, 页码: 157-164 作者: Li, Yundong; Zhang, Xueyan; Li, Hongguang; Zhou, Qichen; Cao, Xianbin 收藏 \| 浏览/下载：15/0 \| 提交时间：2019/12/30 Deep learning Efficiency Graphic methods Object recognition Tracking (position) Background clutter Complex environments Detection and tracking Histograms of oriented gradients Illumination changes Object detection and tracking Overall efficiency Probability modeling Object detection
	Research of entire digital UAV framework and operating mechanism based on simulate training 期刊论文 Lecture Notes in Electrical Engineering, 2019, 卷号: 463, 页码: 509-517 作者: Yang, S.; Gong, G.; Dong, H.; Liu, C. 收藏 \| 浏览/下载：8/0 \| 提交时间：2019/12/30 Digital libraries E-learning Unmanned aerial vehicles (UAV) Application frameworks Model requirements Object oriented Operating framework Operating mechanism Operation process Simulation training Simulation training systems Signal processing
	A reinforcement learning approach for UAV target searching and tracking 期刊论文 MULTIMEDIA TOOLS AND APPLICATIONS, 2019, 卷号: 78, 页码: 4347-4364 作者: Wang, Tian; Qin, Ruoxi; Chen, Yang; Snoussi, Hichem; Choi, Chang 收藏 \| 浏览/下载：2/0 \| 提交时间：2019/12/30 Trajectory planning Cooperative object searching and tracking Reinforcement learning
	MSANet: multimodal self-augmentation and adversarial network for RGB-D object recognition 期刊论文 VISUAL COMPUTER, 2019, 卷号: 35, 页码: 1583-1594 作者: Zhou, Feng; Hu, Yong; Shen, Xukun 收藏 \| 浏览/下载：6/0 \| 提交时间：2019/12/30 Deep learning Object recognition Adversarial network Multimodal
	An adaptive template matching-based single object tracking algorithm with parallel acceleration 期刊论文 JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION, 2019, 卷号: 64 作者: Yan, Baicheng; Xiao, Limin; Zhang, Hang; Xu, Daliang; Ruan, Li 收藏 \| 浏览/下载：2/0 \| 提交时间：2019/12/30 Visual object tracking Adaptive template update Parallel acceleration Deep learning Embedded platform
	A Novel Single Target Auto-annotation Algorithm for SAR Images Based on Pre-trained CNN Classifier 会议论文 ICMLC 2019: 2019 11TH INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND COMPUTING, 2019-01-01 作者: Bellil, Moulay Idriss; Xu, Xiaojian 收藏 \| 浏览/下载：5/0 \| 提交时间：2019/12/30 Convolutional neural networks synthetic aperture radar image annotation object detection
	Deep learning-based vehicle detection with synthetic image data 期刊论文 IET INTELLIGENT TRANSPORT SYSTEMS, 2019, 卷号: 13, 页码: 1097-1105 作者: Wang, Ye; Deng, Weiwen; Liu, Zhenyi; Wang, Jinsong 收藏 \| 浏览/下载：49/0 \| 提交时间：2019/12/30 learning (artificial intelligence) image classification traffic engineering computing object detection computer games neural nets deep learning-based vehicle detection synthetic image data convolutional neural network-based object detectors annotated training data synthetic images synthetic image annotation imaging factors training vehicle detector authors
	A Comparable Study of CNN-Based Single Image Super-Resolution for Space-Based Imaging Sensors 期刊论文 SENSORS, 2019, 卷号: 19 作者: Zhang, Haopeng; Wang, Pengrui; Zhang, Cong; Jiang, Zhiguo 收藏 \| 浏览/下载：3/0 \| 提交时间：2019/12/30 image super-resolution space object convolutional neural network deep learning

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