mSODANet: A network for multi-scale object detection in aerial images using hierarchical dilated convolutions

[1]  Kai Shuang,et al.  Scale-balanced loss for object detection , 2021, Pattern Recognit..

[2]  Baocai Yin,et al.  Spatial context-aware network for salient object detection , 2021, Pattern Recognit..

[3]  Wei Wei,et al.  GSDet: Object Detection in Aerial Images Based on Scale Reasoning , 2021, IEEE Transactions on Image Processing.

[4]  Brais Bosquet,et al.  STDnet-ST: Spatio-temporal ConvNet for small object detection , 2021, Pattern Recognit..

[5]  Hao Wang,et al.  Multi-scale structural kernel representation for object detection , 2021, Pattern Recognit..

[6]  Bi-Yuan Liu,et al.  Contrast-weighted dictionary learning based saliency detection for VHR optical remote sensing images , 2020, Pattern Recognit..

[7]  Chen Chen,et al.  Towards Resolving the Challenge of Long-tail Distribution in UAV Images for Object Detection , 2020, 2021 IEEE Winter Conference on Applications of Computer Vision (WACV).

[8]  Yanjiao Shi,et al.  Attention and boundary guided salient object detection , 2020, Pattern Recognit..

[9]  Chen Chen,et al.  Density Map Guided Object Detection in Aerial Images , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

[10]  Longyin Wen,et al.  Vision Meets Drones: Past, Present and Future , 2020, ArXiv.

[11]  Jian Yang,et al.  Hierarchical Semantic Propagation for Object Detection in Remote Sensing Imagery , 2020, IEEE Transactions on Geoscience and Remote Sensing.

[12]  Guanghui Wang,et al.  MDFN: Multi-Scale Deep Feature Learning Network for Object Detection , 2019, Pattern Recognit..

[13]  Sina Ghofrani Majelan,et al.  CAGNet: Content-Aware Guidance for Salient Object Detection , 2019, Pattern Recognit..

[14]  Quoc V. Le,et al.  EfficientDet: Scalable and Efficient Object Detection , 2019, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

[15]  Sungeun Hong,et al.  Patch-Level Augmentation for Object Detection in Aerial Images , 2019, 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW).

[16]  Xin Sun,et al.  RRNet: A Hybrid Detector for Object Detection in Drone-Captured Images , 2019, 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW).

[17]  Licheng Jiao,et al.  Spatial Attention for Multi-Scale Feature Refinement for Object Detection , 2019, 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW).

[18]  Murari Mandal,et al.  AVDNet: A Small-Sized Vehicle Detection Network for Aerial Visual Data , 2019, IEEE Geoscience and Remote Sensing Letters.

[19]  Hong Lei,et al.  Geospatial Object Detection In Remote Sensing Images Based On Multi-Scale Convolutional Neural Networks , 2019, IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium.

[20]  Yang Long,et al.  Learning RoI Transformer for Oriented Object Detection in Aerial Images , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

[21]  Quoc V. Le,et al.  EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks , 2019, ICML.

[22]  Erik Blasch,et al.  Clustered Object Detection in Aerial Images , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

[23]  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).

[24]  Shijian Lu,et al.  CAD-Net: A Context-Aware Detection Network for Objects in Remote Sensing Imagery , 2019, IEEE Transactions on Geoscience and Remote Sensing.

[25]  Zhihai Xu,et al.  $\mathcal{R}^2$ -CNN: Fast Tiny Object Detection in Large-Scale Remote Sensing Images , 2019, IEEE Transactions on Geoscience and Remote Sensing.

[26]  Guanghui He,et al.  Scale Adaptive Proposal Network for Object Detection in Remote Sensing Images , 2019, IEEE Geoscience and Remote Sensing Letters.

[27]  Larry S. Davis,et al.  AutoFocus: Efficient Multi-Scale Inference , 2018, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

[28]  Yue Zhang,et al.  SCRDet: Towards More Robust Detection for Small, Cluttered and Rotated Objects , 2018, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

[29]  Larry S. Davis,et al.  SNIPER: Efficient Multi-Scale Training , 2018, NeurIPS.

[30]  Ke Li,et al.  Rotation-Insensitive and Context-Augmented Object Detection in Remote Sensing Images , 2018, IEEE Transactions on Geoscience and Remote Sensing.

[31]  Shu Liu,et al.  Path Aggregation Network for Instance Segmentation , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

[32]  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.

[33]  George Papandreou,et al.  Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation , 2018, ECCV.

[34]  Wei Guo,et al.  Geospatial Object Detection in High Resolution Satellite Images Based on Multi-Scale Convolutional Neural Network , 2018, Remote. Sens..

[35]  Serge J. Belongie,et al.  Feature Pyramid Networks for Object Detection , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[36]  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.

[37]  Gong Cheng,et al.  RIFD-CNN: Rotation-Invariant and Fisher Discriminative Convolutional Neural Networks for Object Detection , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[38]  Jian Sun,et al.  Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[39]  Wei Liu,et al.  SSD: Single Shot MultiBox Detector , 2015, ECCV.

[40]  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.

[41]  Junwei Han,et al.  Multi-class geospatial object detection and geographic image classification based on collection of part detectors , 2014 .

[42]  Pietro Perona,et al.  Microsoft COCO: Common Objects in Context , 2014, ECCV.