暂无分享,去创建一个
[1] Joost van de Weijer,et al. Leveraging Unlabeled Data for Crowd Counting by Learning to Rank , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[2] Ian D. Reid,et al. RefineNet: Multi-path Refinement Networks for High-Resolution Semantic Segmentation , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[3] Yu-Chiang Frank Wang,et al. Deep Aggregation Net for Land Cover Classification , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[4] Jianguo Zhang,et al. The PASCAL Visual Object Classes Challenge , 2006 .
[5] George Papandreou,et al. Rethinking Atrous Convolution for Semantic Image Segmentation , 2017, ArXiv.
[6] 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.
[7] Stphane Mallat,et al. A Wavelet Tour of Signal Processing, Third Edition: The Sparse Way , 2008 .
[8] Tao Zhang,et al. Urban Building Density Estimation From High-Resolution Imagery Using Multiple Features and Support Vector Regression , 2017, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[9] Raquel Urtasun,et al. DeepRoadMapper: Extracting Road Topology from Aerial Images , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[10] George Papandreou,et al. Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation , 2018, ECCV.
[11] Uwe Stilla,et al. SEMANTIC SEGMENTATION OF AERIAL IMAGES WITH AN ENSEMBLE OF CNNS , 2016 .
[12] Wei Liu,et al. ParseNet: Looking Wider to See Better , 2015, ArXiv.
[13] Sebastian Ramos,et al. The Cityscapes Dataset for Semantic Urban Scene Understanding , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[14] Vishal M. Patel,et al. A Survey of Recent Advances in CNN-based Single Image Crowd Counting and Density Estimation , 2017, Pattern Recognit. Lett..
[15] Clément Mallet,et al. INVESTIGATING THE POTENTIAL OF DEEP NEURAL NETWORKS FOR LARGE-SCALE CLASSIFICATION OF VERY HIGH RESOLUTION SATELLITE IMAGES , 2017 .
[16] Marco Körner,et al. Temporal Vegetation Modelling Using Long Short-Term Memory Networks for Crop Identification from Medium-Resolution Multi-spectral Satellite Images , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[17] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[18] Onisimo Mutanga,et al. High density biomass estimation for wetland vegetation using WorldView-2 imagery and random forest regression algorithm , 2012, Int. J. Appl. Earth Obs. Geoinformation.
[19] Andrew K. Skidmore,et al. Remotely sensed estimation of forest canopy density: A comparison of the performance of four methods , 2006 .
[20] Kaiming He,et al. Mask R-CNN , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[21] Stéphane Mallat,et al. A Wavelet Tour of Signal Processing - The Sparse Way, 3rd Edition , 2008 .
[22] Haizhou Ai,et al. End-to-end crowd counting via joint learning local and global count , 2016, 2016 IEEE International Conference on Image Processing (ICIP).
[23] Thomas Brox,et al. U-Net: Convolutional Networks for Biomedical Image Segmentation , 2015, MICCAI.
[24] Roberto Cipolla,et al. SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[25] ZissermanAndrew,et al. The Pascal Visual Object Classes Challenge , 2015 .
[26] Pietro Perona,et al. Microsoft COCO: Common Objects in Context , 2014, ECCV.
[27] 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.
[28] Bastian Leibe,et al. Full-Resolution Residual Networks for Semantic Segmentation in Street Scenes , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[29] Stefano Ermon,et al. Monitoring Ethiopian Wheat Fungus with Satellite Imagery and Deep Feature Learning , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[30] Shiyong Cui,et al. Detection of High-Density Crowds in Aerial Images Using Texture Classification , 2016, Remote. Sens..
[31] Bistra N. Dilkina,et al. A Deep Learning Approach for Population Estimation from Satellite Imagery , 2017, GeoHumanities@SIGSPATIAL.
[32] James H. Faghmous,et al. Equitable development through deep learning: The case of sub-national population density estimation , 2016, ACM DEV.
[33] Wei Liu,et al. SSD: Single Shot MultiBox Detector , 2015, ECCV.