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科研机构

北京航空航天大学 [18]

西安交通大学 [8]

沈阳自动化研究所 [7]

兰州理工大学 [4]

山东大学 [4]

武汉大学 [4]

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会议论文 [66]

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	Underwater Object Detection based on YOLO-v3 network 会议论文 Beijing, China, October 15-17, 2021 作者: Wang YM(王艳美); Liu JX(刘佳鑫); Yu SQ(余思泉); Wang, Kai; Han Z(韩志) 收藏 \| 浏览/下载：6/0 \| 提交时间：2022/02/19 underwater object detection YOLO-v3 network side scan sonar image underwater object dataset
	A data fusion modeling framework for retrieval of land surface temperature from landsat8 and modis data 会议论文作者: Zhao, Guohui; Zhang, Yaonan; Tan, Junlei; Li, Cong; Ren, Yanrun 收藏 \| 浏览/下载：3/0 \| 提交时间：2020/12/18 Atmospheric temperature Climate change Critical current density (superconductivity) Data fusion Image resolution Mean square error Radiometers Surface measurement Surface propertiesComplementary characteristics Environmental change Index of agreements Root mean square errors Spatial and temporal resolutions Spatio-temporal dataset Structural similarity indices (SSIM) Temporal information
	No-contactHeartRatemonitoringbasedonChannelAttentionConvolution Model 会议论文 Hangzhou, China, 2019-10 作者: Sun, Wen; Wei, Hao; Li, Xueen 收藏 \| 浏览/下载：8/0 \| 提交时间：2020/06/12 HeartRate,ChannelAttentionMechanism, ConvolutionNeuralNetwork,ECG-fitness Dataset
	Dual Refinement Underwater Object Detection Network 会议论文 Glasgow, United kingdom, August 23-28, 2020 作者: Fan BJ(范保杰); Chen, Wei; Cong Y(丛杨); Tian JD(田建东) 收藏 \| 浏览/下载：14/0 \| 提交时间：2021/03/14 Underwater object detection Feature enhancement Anchor refinement Underwater dataset
	OSLNet: Deep Small-Sample Classification with an Orthogonal Softmax Layer 会议论文作者: Li, Xiaoxu; Chang, Dongliang; Ma, Zhanyu; Tan, Zheng-Hua; Xue, Jing-Hao 收藏 \| 浏览/下载：2/0 \| 提交时间：2020/12/18 Benchmarking Deep neural networks Large dataset TestingBenchmark datasets Discriminative features Function spaces Generalization error bounds Nonlinear layers Number of class Rademacher complexity Small sample datum
	Small-sample image classification method of combining prototype and margin learning 会议论文 Lanzhou, China, November 18, 2019 - November 21, 2019 作者: Li, Xiaoxu; Yu, Liyun; Cao, Jie; Chang, Dongliang; Ma, Zhanyu 收藏 \| 浏览/下载：0/0 \| 提交时间：2020/11/15 Classification (of information) Deep neural networks Image classification Large dataset Learning systems Neural networks Classification methods Ensemble learning Ensemble methods Large-scale datasets Prototype and margin learning Prototype learning Small sample datum Small samples
	Multi-scale Densely Connected Dehazing Network 会议论文 Shenyang, China, August 8-11, 2019 作者: Zhang Z(张箴); Tan JD(田建东); Cui T(崔童); Tang YD(唐延东) 收藏 \| 浏览/下载：40/0 \| 提交时间：2019/09/05 Deep learning image dehazing Multi-scale dense network One-in-all training Large-scale dataset
	Non-concentric Circular Texture Removal for Workpiece Defect Detection 会议论文 Shenyang, China, August 8-11, 2019 作者: Chen, Heping; Xi N(席宁); Qin SJ(秦书嘉); Guo, Di 收藏 \| 浏览/下载：19/0 \| 提交时间：2019/09/05 Defect detection Non-concentric circle Small dataset
	End-to-End Video Captioning with Multitask Reinforcement Learning 会议论文 2019 IEEE WINTER CONFERENCE ON APPLICATIONS OF COMPUTER VISION (WACV), 2019-01-01 作者: Li, Lijun; Gong, Boqing 收藏 \| 浏览/下载：7/0 \| 提交时间：2019/12/30 Computer vision Large dataset Machine learning Recurrent neural networks Convolutional neural network Hardware constraints Input videos Large margins Process video Reinforcement learning approach Search spaces Testing phase Reinforcement learning
	An Efficient Density-Based Local Outlier Detection Approach for Scattered Data 会议论文 IEEE ACCESS, 2019-01-01 作者: Su, Shubin; Xiao, Limin; Ruan, Li; Gu, Fei; Li, Shupan 收藏 \| 浏览/下载：5/0 \| 提交时间：2019/12/30 Outlier detection local outlier factor neighborhood variance rough clustering scattered dataset

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