Spatial hierarchy perception and hard samples metric learning for high-resolution remote sensing image object detection
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Shixiong Xia | Ying Chen | Jiaqi Zhao | Yong Zhou | Rui Yao | Q. Niu | Dongjun Zhu
[1] Xiwen Yao,et al. Cross-Scale Feature Fusion for Object Detection in Optical Remote Sensing Images , 2021, IEEE Geoscience and Remote Sensing Letters.
[2] Qi Wang,et al. CDD-Net: A Context-Driven Detection Network for Multiclass Object Detection , 2020, IEEE Geoscience and Remote Sensing Letters.
[3] Ji Zhao,et al. HyNet: Hyper-scale object detection network framework for multiple spatial resolution remote sensing imagery , 2020 .
[4] Faliang Huang,et al. Anchor-free multi-orientation text detection in natural scene images , 2020, Applied Intelligence.
[5] Jing Zhang,et al. Small Object Detection in Unmanned Aerial Vehicle Images Using Feature Fusion and Scaling-Based Single Shot Detector With Spatial Context Analysis , 2020, IEEE Transactions on Circuits and Systems for Video Technology.
[6] Zhuo Zheng,et al. Foreground-Aware Relation Network for Geospatial Object Segmentation in High Spatial Resolution Remote Sensing Imagery , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[7] Rui-Sheng Jia,et al. Finding every car: a traffic surveillance multi-scale vehicle object detection method , 2020, Applied Intelligence.
[8] Yongqiang Cheng,et al. Local keypoint-based Faster R-CNN , 2020, Applied Intelligence.
[9] Chao Zhang,et al. Hit-Detector: Hierarchical Trinity Architecture Search for Object Detection , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[10] Shiming Xiang,et al. AugFPN: Improving Multi-Scale Feature Learning for Object Detection , 2019, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[11] Huanjie Tao. Detecting smoky vehicles from traffic surveillance videos based on dynamic features , 2019, Applied Intelligence.
[12] Yuning Jiang,et al. FoveaBox: Beyound Anchor-Based Object Detection , 2019, IEEE Transactions on Image Processing.
[13] Junwei Han,et al. Object Detection in Optical Remote Sensing Images: A Survey and A New Benchmark , 2019, ISPRS Journal of Photogrammetry and Remote Sensing.
[14] Xiongwei Wu,et al. Recent Advances in Deep Learning for Object Detection , 2019, Neurocomputing.
[15] Dazhuan Xu,et al. Sig-NMS-Based Faster R-CNN Combining Transfer Learning for Small Target Detection in VHR Optical Remote Sensing Imagery , 2019, IEEE Transactions on Geoscience and Remote Sensing.
[16] Magaly Koch,et al. Detecting Collapsed Buildings After a Natural Hazard on Vhr Optical Satellite Imagery Using U-Net Convolutional Neural Networks , 2019, IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium.
[17] Licheng Jiao,et al. Multi-Scale Feature Fusion Network for Object Detection in VHR Optical Remote Sensing Images , 2019, IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium.
[18] Liang Chen,et al. Spatial Enhanced-SSD For Multiclass Object Detection in Remote Sensing Images , 2019, IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium.
[19] Nuno Vasconcelos,et al. Cascade R-CNN: High Quality Object Detection and Instance Segmentation , 2019, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[20] Zhuo Wang,et al. A Novel Effectively Optimized One-Stage Network for Object Detection in Remote Sensing Imagery , 2019, Remote. Sens..
[21] Erik Blasch,et al. Clustered Object Detection in Aerial Images , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[22] Huajun Feng,et al. Libra R-CNN: Towards Balanced Learning for Object Detection , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[23] Jian Yang,et al. Selective Kernel Networks , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[24] Jie Ma,et al. Target heat-map network: An end-to-end deep network for target detection in remote sensing images , 2019, Neurocomputing.
[25] Jocelyn Chanussot,et al. ORSIm Detector: A Novel Object Detection Framework in Optical Remote Sensing Imagery Using Spatial-Frequency Channel Features , 2019, IEEE Transactions on Geoscience and Remote Sensing.
[26] Xin Wu,et al. MsRi-CCF: Multi-Scale and Rotation-Insensitive Convolutional Channel Features for Geospatial Object Detection , 2018, Remote. Sens..
[27] Yanfei Zhong,et al. Multi-class geospatial object detection based on a position-sensitive balancing framework for high spatial resolution remote sensing imagery , 2018 .
[28] Ke Li,et al. Rotation-Insensitive and Context-Augmented Object Detection in Remote Sensing Images , 2018, IEEE Transactions on Geoscience and Remote Sensing.
[29] 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.
[30] Yunhong Wang,et al. Receptive Field Block Net for Accurate and Fast Object Detection , 2017, ECCV.
[31] Lin Lei,et al. Arbitrary-Oriented Vehicle Detection in Aerial Imagery with Single Convolutional Neural Networks , 2017, Remote. Sens..
[32] Gang Sun,et al. Squeeze-and-Excitation Networks , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[33] Kaiming He,et al. Focal Loss for Dense Object Detection , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[34] George Papandreou,et al. Rethinking Atrous Convolution for Semantic Image Segmentation , 2017, ArXiv.
[35] Gongjian Wen,et al. Occluded Object Detection in High-Resolution Remote Sensing Images Using Partial Configuration Object Model , 2017, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[36] Lin Lei,et al. Vehicle Detection in Aerial Images Based on Region Convolutional Neural Networks and Hard Negative Example Mining , 2017, Sensors.
[37] Wei Liu,et al. DSSD : Deconvolutional Single Shot Detector , 2017, ArXiv.
[38] Yang Wang,et al. Optimizing Intersection-Over-Union in Deep Neural Networks for Image Segmentation , 2016, ISVC.
[39] Serge J. Belongie,et al. Feature Pyramid Networks for Object Detection , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[40] Junwei Han,et al. Learning Rotation-Invariant Convolutional Neural Networks for Object Detection in VHR Optical Remote Sensing Images , 2016, IEEE Transactions on Geoscience and Remote Sensing.
[41] Yi Li,et al. R-FCN: Object Detection via Region-based Fully Convolutional Networks , 2016, NIPS.
[42] Abhinav Gupta,et al. Training Region-Based Object Detectors with Online Hard Example Mining , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[43] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[44] Ali Farhadi,et al. You Only Look Once: Unified, Real-Time Object Detection , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[45] 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.
[46] Junwei Han,et al. Multi-class geospatial object detection and geographic image classification based on collection of part detectors , 2014 .
[47] Wei Zhou,et al. A new method for detection of ship docked in harbor in high resolution remote sensing image , 2014, 2014 IEEE International Conference on Progress in Informatics and Computing.
[48] Xinwei Zheng,et al. A New Method on Inshore Ship Detection in High-Resolution Satellite Images Using Shape and Context Information , 2014, IEEE Geoscience and Remote Sensing Letters.
[49] Trevor Darrell,et al. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation , 2013, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[50] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[51] David A. McAllester,et al. A discriminatively trained, multiscale, deformable part model , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[52] David G. Lowe,et al. Object recognition from local scale-invariant features , 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.
[53] Liujuan Cao,et al. Vehicle Detection in High-Resolution Aerial Images via Sparse Representation and Superpixels , 2016, IEEE Transactions on Geoscience and Remote Sensing.
[54] N. Yokoya,et al. 2020 Index IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Vol. 13 , 2020, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[55] Christopher K. I. Williams,et al. International Journal of Computer Vision manuscript No. (will be inserted by the editor) The PASCAL Visual Object Classes (VOC) Challenge , 2022 .