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Position Detection and Direction Prediction for Arbitrary-Oriented Ships via Multitask Rotation Region Convolutional Neural Network

机译：通过多任务旋转区域卷积神经网络定位对任意定向船舶的位置检测和方向预测

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Xue Yang; Hao Sun; Xian Sun; Menglong Yan; Zhi Guo; Kun Fu;
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年度 2018
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1. Toward Arbitrary-Oriented Ship Detection With Rotated Region Proposal and Discrimination Networks [J] . Zenghui Zhang, Weiwei Guo, Shengnan Zhu, IEEE Geoscience and Remote Sensing Letters . 2018,第11期

机译：具有旋转区域提议和鉴别网络的面向任意方向的舰船检测
2. Improved region convolutional neural network for ship detection in multiresolution synthetic aperture radar images [J] . Xiao Qilin, Cheng Yun, Xiao Minlei, Concurrency, practice and experience . 2020,第22期

机译：改进的区域卷积神经网络，用于多分辨率合成孔径雷达图像中的船舶检测
3. Contextual Region-Based Convolutional Neural Network with Multilayer Fusion for SAR Ship Detection [J] . Miao Kang, Kefeng Ji, Xiangguang Leng, Remote Sensing . 2017,第8期

机译：基于上下文区域的多层融合卷积神经网络用于SAR舰船检测
4. Arbitrary-Oriented Ship Detection Based on Rotation Region Locating Networks in Large Scale Remote Sensing Images [C] . Xipeng Liu, Jianxin Chen, Bin Kang, International Conference on Image, Vision and Computing . 2019

机译：大规模遥感影像中基于旋转区域定位网络的定向舰船检测
5. Identifying Critical Regions for Robot Planning Using Convolutional Neural Networks [D] . Molina, Daniel. 2019

机译：使用卷积神经网络识别机器人计划的关键区域
6. Robust cell particle detection to dense regions and subjective training samples based on prediction of particle center using convolutional neural network [O] . Kenshiro Nishida, Kazuhiro Hotta 2012

机译：基于卷积神经网络的粒子中心预测，对密集区域和主观训练样本进行鲁棒的细胞粒子检测
7. Arbitrary-Oriented Vehicle Detection in Aerial Imagery with Single Convolutional Neural Networks [O] . Tianyu Tang, Shilin Zhou, Zhipeng Deng, 2017

机译：单卷积神经网络在航空影像中的任意车辆检测
8. Keypoint Density-Based Region Proposal for Fine-Grained Object Detection and Classification Using Regions with Convolutional Neural Network Features. [R] . Turner, J. T., Gupta, K., Morris, B., 2015

机译：基于关键点密度的区域提议，用于使用具有卷积神经网络特征的区域进行细粒度目标检测和分类。

Position Detection and Direction Prediction for Arbitrary-Oriented Ships via Multitask Rotation Region Convolutional Neural Network

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