PBNet: Part-based convolutional neural network for complex composite object detection in remote sensing imagery
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Cheng Wang | Xian Sun | Kun Fu | Yingfei Liu | Peijin Wang | K. Fu | Xian Sun | Cheng Wang | Peijin Wang | Yingfei Liu | Kun Fu
[1] Quoc V. Le,et al. NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[2] Timothy F. Cootes,et al. Active Appearance Models , 2001, IEEE Trans. Pattern Anal. Mach. Intell..
[3] Steve Branson,et al. Efficient Large-Scale Structured Learning , 2013, CVPR.
[4] Fuchun Sun,et al. HyperNet: Towards Accurate Region Proposal Generation and Joint Object Detection , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[5] Pietro Perona,et al. A Probabilistic Approach to Object Recognition Using Local Photometry and Global Geometry , 1998, ECCV.
[6] Kun Fu,et al. FMSSD: Feature-Merged Single-Shot Detection for Multiscale Objects in Large-Scale Remote Sensing Imagery , 2020, IEEE Transactions on Geoscience and Remote Sensing.
[7] Xin Huang,et al. Deep networks under scene-level supervision for multi-class geospatial object detection from remote sensing images , 2018, ISPRS Journal of Photogrammetry and Remote Sensing.
[8] Frédéric Jurie,et al. Vehicle detection in aerial imagery : A small target detection benchmark , 2016, J. Vis. Commun. Image Represent..
[9] Stephen Lin,et al. RepPoints: Point Set Representation for Object Detection , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[10] Xinwei Zheng,et al. Efficient Saliency-Based Object Detection in Remote Sensing Images Using Deep Belief Networks , 2016, IEEE Geoscience and Remote Sensing Letters.
[11] Lin Lei,et al. Multi-scale object detection in remote sensing imagery with convolutional neural networks , 2018, ISPRS Journal of Photogrammetry and Remote Sensing.
[12] Ross B. Girshick,et al. Focal Loss for Dense Object Detection , 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[13] Yue Zhang,et al. Rotation-aware and multi-scale convolutional neural network for object detection in remote sensing images , 2020 .
[14] Jian Dong,et al. Attentive Contexts for Object Detection , 2016, IEEE Transactions on Multimedia.
[15] Xian Sun,et al. A generic discriminative part-based model for geospatial object detection in optical remote sensing images , 2015 .
[16] Peter Reinartz,et al. Towards Multi-class Object Detection in Unconstrained Remote Sensing Imagery , 2018, ACCV.
[17] Nojun Kwak,et al. Enhancement of SSD by concatenating feature maps for object detection , 2017, BMVC.
[18] Wei Guo,et al. Geospatial Object Detection in High Resolution Satellite Images Based on Multi-Scale Convolutional Neural Network , 2018, Remote. Sens..
[19] Alan L. Yuille,et al. Feature extraction from faces using deformable templates , 2004, International Journal of Computer Vision.
[20] Georgios Tzimiropoulos,et al. Human Pose Estimation via Convolutional Part Heatmap Regression , 2016, ECCV.
[21] Daniel Snow,et al. Efficient Deformable Template Detection and Localization without User Initialization , 2000, Comput. Vis. Image Underst..
[22] Yiping Yang,et al. Ship Rotated Bounding Box Space for Ship Extraction From High-Resolution Optical Satellite Images With Complex Backgrounds , 2016, IEEE Geoscience and Remote Sensing Letters.
[23] Trevor Darrell,et al. Deep Layer Aggregation , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[24] Lei Guo,et al. Object Detection in Optical Remote Sensing Images Based on Weakly Supervised Learning and High-Level Feature Learning , 2015, IEEE Transactions on Geoscience and Remote Sensing.
[25] Gellért Máttyus,et al. Fast Multiclass Vehicle Detection on Aerial Images , 2015, IEEE Geoscience and Remote Sensing Letters.
[26] Fuqiang Zhou,et al. FSSD: Feature Fusion Single Shot Multibox Detector , 2017, ArXiv.
[27] Gang Wan,et al. Object Detection in Optical Remote Sensing Images: A Survey and A New Benchmark , 2020, ISPRS Journal of Photogrammetry and Remote Sensing.
[28] David A. McAllester,et al. Object Detection with Discriminatively Trained Part Based Models , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[29] Daniel P. Huttenlocher,et al. Pictorial Structures for Object Recognition , 2004, International Journal of Computer Vision.
[30] Gong Cheng,et al. P-CNN: Part-Based Convolutional Neural Networks for Fine-Grained Visual Categorization , 2022, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[31] Trevor Darrell,et al. Part-Based R-CNNs for Fine-Grained Category Detection , 2014, ECCV.
[32] 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.
[33] Xiaoqiang Lu,et al. Hierarchical and Robust Convolutional Neural Network for Very High-Resolution Remote Sensing Object Detection , 2019, IEEE Transactions on Geoscience and Remote Sensing.
[34] Hei Law,et al. CornerNet: Detecting Objects as Paired Keypoints , 2018, ECCV.
[35] Quoc V. Le,et al. EfficientDet: Scalable and Efficient Object Detection , 2019, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[36] Wei Liu,et al. SSD: Single Shot MultiBox Detector , 2015, ECCV.
[37] Yansheng Li,et al. Error-Tolerant Deep Learning for Remote Sensing Image Scene Classification , 2020, IEEE Transactions on Cybernetics.
[38] Shu Liu,et al. Path Aggregation Network for Instance Segmentation , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[39] Ali Farhadi,et al. You Only Look Once: Unified, Real-Time Object Detection , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[40] Junjie Yan,et al. Grid R-CNN , 2018, 1811.12030.
[41] Shiming Xiang,et al. Vehicle Detection in Satellite Images by Hybrid Deep Convolutional Neural Networks , 2014, IEEE Geoscience and Remote Sensing Letters.
[42] 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.
[43] Ali Farhadi,et al. YOLO9000: Better, Faster, Stronger , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[44] Kavita Bala,et al. Inside-Outside Net: Detecting Objects in Context with Skip Pooling and Recurrent Neural Networks , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[45] Daniel P. Huttenlocher,et al. Spatial priors for part-based recognition using statistical models , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[46] Qixiang Ye,et al. Orientation robust object detection in aerial images using deep convolutional neural network , 2015, 2015 IEEE International Conference on Image Processing (ICIP).
[47] Junwei Han,et al. Multi-class geospatial object detection and geographic image classification based on collection of part detectors , 2014 .
[48] Xingyi Zhou,et al. Bottom-Up Object Detection by Grouping Extreme and Center Points , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[49] J. A. Hartigan,et al. A k-means clustering algorithm , 1979 .
[50] 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.
[51] Pietro Perona,et al. Object class recognition by unsupervised scale-invariant learning , 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..
[52] Jun Zhou,et al. Multiscale Visual Attention Networks for Object Detection in VHR Remote Sensing Images , 2019, IEEE Geoscience and Remote Sensing Letters.
[53] Kaiming He,et al. Feature Pyramid Networks for Object Detection , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[54] Junwei Han,et al. A Survey on Object Detection in Optical Remote Sensing Images , 2016, ArXiv.
[55] Naif Alajlan,et al. Deep Learning Approach for Car Detection in UAV Imagery , 2017, Remote. Sens..
[56] Gong Cheng,et al. Multi-modal deep learning for landform recognition , 2019 .
[57] Wesam A. Sakla,et al. A Large Contextual Dataset for Classification, Detection and Counting of Cars with Deep Learning , 2016, ECCV.
[58] Luc Van Gool,et al. The Pascal Visual Object Classes (VOC) Challenge , 2010, International Journal of Computer Vision.
[59] Michael S. Bernstein,et al. ImageNet Large Scale Visual Recognition Challenge , 2014, International Journal of Computer Vision.
[60] Jiří Jaromír Klemeš,et al. Value chain mapping of the water and sewage treatment to contribute to sustainability. , 2019, Journal of environmental management.
[61] Andrew Zisserman,et al. Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.
[62] Fei Wang,et al. CentripetalNet: Pursuing High-Quality Keypoint Pairs for Object Detection , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[63] Jun Zhang,et al. Geospatial Object Detection in Remote Sensing Imagery Based on Multiscale Single-Shot Detector with Activated Semantics , 2018, Remote. Sens..