Do Game Data Generalize Well for Remote Sensing Image Segmentation?
暂无分享,去创建一个
Zhenwei Shi | Zhengxia Zou | Wenyuan Li | Tianyang Shi | Zhou Zhang | Zhenwei Shi | Zhou Zhang | Tianyang Shi | Zhengxia Zou | Wenyuan Li
[1] Mei Wang,et al. Deep Visual Domain Adaptation: A Survey , 2018, Neurocomputing.
[2] Han Zhang,et al. Self-Attention Generative Adversarial Networks , 2018, ICML.
[3] Alexei A. Efros,et al. Image-to-Image Translation with Conditional Adversarial Networks , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[4] Jiebo Luo,et al. DOTA: A Large-Scale Dataset for Object Detection in Aerial Images , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[5] Swami Sankaranarayanan,et al. Learning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[6] Yoshua Bengio,et al. Show, Attend and Tell: Neural Image Caption Generation with Visual Attention , 2015, ICML.
[7] Iasonas Kokkinos,et al. DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs , 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[8] Vladlen Koltun,et al. Playing for Data: Ground Truth from Computer Games , 2016, ECCV.
[9] Andrew Zisserman,et al. Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.
[10] Chi-Keung Tang,et al. Attribute-Guided Face Generation Using Conditional CycleGAN , 2017, ECCV.
[11] Sergey Ioffe,et al. Rethinking the Inception Architecture for Computer Vision , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[12] Jung-Woo Ha,et al. StarGAN: Unified Generative Adversarial Networks for Multi-domain Image-to-Image Translation , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[13] Ming-Hsuan Yang,et al. Universal Style Transfer via Feature Transforms , 2017, NIPS.
[14] Antonio M. López,et al. The SYNTHIA Dataset: A Large Collection of Synthetic Images for Semantic Segmentation of Urban Scenes , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[15] Kiyoharu Aizawa,et al. Cross-Domain Weakly-Supervised Object Detection Through Progressive Domain Adaptation , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[16] Chong-Wah Ngo,et al. Semi-supervised Domain Adaptation with Subspace Learning for visual recognition , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[17] Yoshua Bengio,et al. Generative Adversarial Nets , 2014, NIPS.
[18] Abhinav Gupta,et al. A-Fast-RCNN: Hard Positive Generation via Adversary for Object Detection , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[19] Wei Liu,et al. SSD: Single Shot MultiBox Detector , 2015, ECCV.
[20] Pierre Alliez,et al. Convolutional Neural Networks for Large-Scale Remote-Sensing Image Classification , 2017, IEEE Transactions on Geoscience and Remote Sensing.
[21] Fei-Fei Li,et al. Deep visual-semantic alignments for generating image descriptions , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[22] Fan Zhang,et al. TreeUNet: Adaptive Tree convolutional neural networks for subdecimeter aerial image segmentation , 2019, ISPRS Journal of Photogrammetry and Remote Sensing.
[23] Siyuan Liu,et al. Unsupervised Image Super-Resolution Using Cycle-in-Cycle Generative Adversarial Networks , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[24] Li Fei-Fei,et al. ImageNet: A large-scale hierarchical image database , 2009, CVPR.
[25] Eero P. Simoncelli,et al. Image quality assessment: from error visibility to structural similarity , 2004, IEEE Transactions on Image Processing.
[26] Jieping Ye,et al. Object Detection in 20 Years: A Survey , 2019, Proceedings of the IEEE.
[27] Yongqiang Zhang,et al. SOD-MTGAN: Small Object Detection via Multi-Task Generative Adversarial Network , 2018, ECCV.
[28] Dong Liu,et al. Fully Convolutional Adaptation Networks for Semantic Segmentation , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[29] Seunghoon Hong,et al. Learning Deconvolution Network for Semantic Segmentation , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[30] Sepp Hochreiter,et al. GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium , 2017, NIPS.
[31] Iasonas Kokkinos,et al. Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs , 2014, ICLR.
[32] Jiancheng Luo,et al. DE-Net: Deep Encoding Network for Building Extraction from High-Resolution Remote Sensing Imagery , 2019, Remote. Sens..
[33] Guigang Zhang,et al. Deep Learning , 2016, Int. J. Semantic Comput..
[34] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[35] Soumith Chintala,et al. Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks , 2015, ICLR.
[36] Trevor Darrell,et al. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation , 2013, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[37] Gang Hua,et al. Visual attribute transfer through deep image analogy , 2017, ACM Trans. Graph..
[38] Qi Wu,et al. Image Captioning and Visual Question Answering Based on Attributes and External Knowledge , 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[39] Yu Qiao,et al. ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks , 2018, ECCV Workshops.
[40] Thomas Brox,et al. U-Net: Convolutional Networks for Biomedical Image Segmentation , 2015, MICCAI.
[41] Ieee Xplore,et al. IEEE Transactions on Pattern Analysis and Machine Intelligence Information for Authors , 2022, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[42] Adam Finkelstein,et al. PairedCycleGAN: Asymmetric Style Transfer for Applying and Removing Makeup , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[43] Xiaoou Tang,et al. Image Super-Resolution Using Deep Convolutional Networks , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[44] Jefersson Alex dos Santos,et al. Do deep features generalize from everyday objects to remote sensing and aerial scenes domains? , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[45] Yunchao Wei,et al. Perceptual Generative Adversarial Networks for Small Object Detection , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[46] Zhenwei Shi,et al. Random Access Memories: A New Paradigm for Target Detection in High Resolution Aerial Remote Sensing Images , 2018, IEEE Transactions on Image Processing.
[47] Geoffrey E. Hinton,et al. Machine Learning for Aerial Image Labeling , 2013 .
[48] 拓海 杉山,et al. “Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks”の学習報告 , 2017 .
[49] Р Ю Чуйков,et al. Обнаружение транспортных средств на изображениях загородных шоссе на основе метода Single shot multibox Detector , 2017 .
[50] Rama Chellappa,et al. Visual Domain Adaptation: A survey of recent advances , 2015, IEEE Signal Processing Magazine.
[51] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[52] Rob Fergus,et al. Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks , 2015, NIPS.
[53] Leon A. Gatys,et al. Image Style Transfer Using Convolutional Neural Networks , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[54] Kaiming He,et al. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[55] Taesung Park,et al. CyCADA: Cycle-Consistent Adversarial Domain Adaptation , 2017, ICML.
[56] Trevor Darrell,et al. Fully Convolutional Networks for Semantic Segmentation , 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[57] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[58] Kyoung Mu Lee,et al. Accurate Image Super-Resolution Using Very Deep Convolutional Networks , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[59] Bo Du,et al. Deep Learning for Remote Sensing Data: A Technical Tutorial on the State of the Art , 2016, IEEE Geoscience and Remote Sensing Magazine.
[60] Meng Lu,et al. Fully Convolutional Networks for Multisource Building Extraction From an Open Aerial and Satellite Imagery Data Set , 2019, IEEE Transactions on Geoscience and Remote Sensing.
[61] Ali Farhadi,et al. You Only Look Once: Unified, Real-Time Object Detection , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[62] Tinne Tuytelaars,et al. Unsupervised Visual Domain Adaptation Using Subspace Alignment , 2013, 2013 IEEE International Conference on Computer Vision.
[63] Ross B. Girshick,et al. Fast R-CNN , 2015, 1504.08083.
[64] Jeff Donahue,et al. Large Scale GAN Training for High Fidelity Natural Image Synthesis , 2018, ICLR.
[65] Christian Ledig,et al. Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[66] Trevor Darrell,et al. Adversarial Discriminative Domain Adaptation , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[67] Zhenwei Shi,et al. Can a Machine Generate Humanlike Language Descriptions for a Remote Sensing Image? , 2017, IEEE Transactions on Geoscience and Remote Sensing.
[68] Dongyang Li,et al. Semantic Segmentation of Remote Sensing Images Using Multiscale Decoding Network , 2019, IEEE Geoscience and Remote Sensing Letters.
[69] Ming Lu,et al. Decoder Network over Lightweight Reconstructed Feature for Fast Semantic Style Transfer , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[70] Simon Hessner,et al. Image Style Transfer using Convolutional Neural Networks , 2018 .