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Recent research on remote sensing object detection has largely focused on improving the representation of oriented bounding boxes but has overlooked the unique prior knowledge presented in remote sensing scenarios.
The PASCAL Visual Object Classes Challenge 2007 (VOC2007) Results
M. Everingham, L. Van Gool, C. K. I. Williams, J. Winn, and A. Zisserman · 2007
Earlier work this paper cites.
Imagenet: A large-scale hierarchical image database
Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei · 2009
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The PASCAL Visual Object Classes Challenge 2012 (VOC2012) Results
M. Everingham, L. Van Gool, C. K. I. Williams, J. Winn, and A. Zisserman · 2012
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Microsoft coco: Common objects in context
Tsung-Yi Lin, Michael Maire, Serge J. Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, and C. Lawrence Zitnick · 2014
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Faster R-CNN: Towards real-time object detection with region proposal networks
Shaoqing Ren, Kaiming He, Ross Girshick, and Jian Sun · 2015
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Bridging nonlinearities and stochastic regularizers with gaussian error linear units
Dan Hendrycks and Kevin Gimpel · 2016
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Ship rotated bounding box space for ship extraction from high-resolution optical satellite images with complex backgrounds
Zikun Liu, Hongzhen Wang, Lubin Weng, and Yiping Yang · 2016
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Understanding the effective receptive field in deep convolutional neural networks
Wenjie Luo, Yujia Li, Raquel Urtasun, and Richard Zemel · 2016
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Deformable convolutional networks
Jifeng Dai, Haozhi Qi, Yuwen Xiong, Yi Li, Guodong Zhang, Han Hu, and Yichen Wei · 2017
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Focal loss for dense object detection
Tsung-Yi Lin, Priya Goyal, Ross Girshick, Kaiming He, and Piotr Dollár · 2017
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Decoupled weight decay regularization
Ilya Loshchilov and Frank Hutter · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
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Stacked hourglass network for robust facial landmark localisation
Jing Yang, Qingshan Liu, and Kaihua Zhang · 2017
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Cascade R-CNN: Delving into high quality object detection
Zhaowei Cai and Nuno Vasconcelos · 2018
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Gather-excite: Exploiting feature context in convolutional neural networks
Jie Hu, Li Shen, Samuel Albanie, Gang Sun, and Andrea Vedaldi · 2018
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Squeeze-and-excitation networks
Jie Hu, Li Shen, and Gang Sun · 2018
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Cornernet: Detecting objects as paired keypoints
Hei Law and Jia Deng · 2018
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Bam: Bottleneck attention module
Jongchan Park, Sanghyun Woo, Joon-Young Lee, and In-So Kweon · 2018
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CBAM: Convolutional block attention module
Sanghyun Woo, Jongchan Park, Joon-Young Lee, and In So Kweon · 2018
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Dota: A large-scale dataset for object detection in aerial images
Gui-Song Xia, Xiang Bai, Jian Ding, Zhen Zhu, Serge Belongie, Jiebo Luo, Mihai Datcu, Marcello Pelillo, and Liangpei Zhang · 2018
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GCNet: Non-local networks meet squeeze-excitation networks and beyond
Yue Cao, Jiarui Xu, Stephen Lin, Fangyun Wei, and Han Hu · 2019
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Learning RoI transformer for oriented object detection in aerial images
Jian Ding, Nan Xue, Yang Long, Gui-Song Xia, and Qikai Lu · 2019
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Selective kernel networks
Xiang Li, Wenhai Wang, Xiaolin Hu, and Jian Yang · 2019
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Condconv: Conditionally parameterized convolutions for efficient inference
Brandon Yang, Gabriel Bender, Quoc V Le, and Jiquan Ngiam · 2019
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R3det: Refined single-stage detector with feature refinement for rotating object
Xue Yang, Qingqing Liu, Junchi Yan, and Ang Li · 2019
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SCRDet: Towards more robust detection for small, cluttered and rotated objects
Xue Yang, Jirui Yang, Junchi Yan, Yue Zhang, Tengfei Zhang, Zhi Guo, Xian Sun, and Kun Fu · 2019
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Objects as points
Xingyi Zhou, Dequan Wang, and Philipp Krähenbühl · 2019
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Deformable convnets v2: More deformable, better results
Xizhou Zhu, Han Hu, Stephen Lin, and Jifeng Dai · 2019
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End-to-end object detection with transformers
Nicolas Carion, Francisco Massa, Gabriel Synnaeve, Nicolas Usunier, Alexander Kirillov, and Sergey Zagoruyko · 2020
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Dynamic convolution: Attention over convolution kernels
Yinpeng Chen, Xiyang Dai, Mengchen Liu, Dongdong Chen, Lu Yuan, and Zicheng Liu · 2020
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An image is worth 16x16 words: Transformers for image recognition at scale
Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, et al · 2020
Cited alongside, same era.
Align deep features for oriented object detection
Jiaming Han, Jian Ding, Jie Li, and Gui-Song Xia · 2020
Cited alongside, same era.
Improving convolutional networks with self-calibrated convolutions
Rethinking semantic segmentation from a sequence-to-sequence perspective with transformers
Sixiao Zheng, Jiachen Lu, Hengshuang Zhao, Xiatian Zhu, Zekun Luo, Yabiao Wang, Yanwei Fu, Jianfeng Feng, Tao Xiang, Philip H.S. Torr, and Li Zhang · 2021
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Anchor-free oriented proposal generator for object detection
Gong Cheng, Jiabao Wang, Ke Li, Xingxing Xie, Chunbo Lang, Yanqing Yao, and Junwei Han · 2022
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Dual-aligned oriented detector
Gong Cheng, Yanqing Yao, Shengyang Li, Ke Li, Xingxing Xie, Jiabao Wang, Xiwen Yao, and Junwei Han · 2022
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AO2-DETR: Arbitrary-oriented object detection transformer
Linhui Dai, Hong Liu, Hao Tang, Zhiwei Wu, and Pinhao Song · 2022
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When cnns meet vision transformer: A joint framework for remote sensing scene classification
Peifang Deng, Kejie Xu, and Hong Huang · 2022
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Jiang-Jiang Liu, Qibin Hou, Ming-Ming Cheng, Changhu Wang, and Jiashi Feng · 2020
Cited alongside, same era.
Dynamic anchor learning for arbitrary-oriented object detection
Qi Ming, Zhiqiang Zhou, Lingjuan Miao, Hongwei Zhang, and Linhao Li · 2020
Cited alongside, same era.
Eigen-cam: Class activation map using principal components
Mohammed Bany Muhammad and Mohammed Yeasin · 2020
Cited alongside, same era.
Dynamic refinement network for oriented and densely packed object detection
Xingjia Pan, Yuqiang Ren, Kekai Sheng, Weiming Dong, Haolei Yuan, Xiaowei Guo, Chongyang Ma, and Changsheng Xu · 2020
Cited alongside, same era.
Arbitrary-oriented object detection with circular smooth label
Xue Yang and Junchi Yan · 2020
Cited alongside, same era.
Vision transformers for remote sensing image classification
Yakoub Bazi, Laila Bashmal, Mohamad M. Al Rahhal, Reham Al Dayil, and Naif Al Ajlan · 2021
Cited alongside, same era.
Beyond bounding-box: Convex-hull feature adaptation for oriented and densely packed object detection
Zonghao Guo, Chang Liu, Xiaosong Zhang, Jianbin Jiao, Xiangyang Ji, and Qixiang Ye · 2021
Cited alongside, same era.
Xiaohan Ding, Xiangyu Zhang, Jungong Han, and Guiguang Ding · 2022
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Visual attention network
Meng-Hao Guo, Chengrou Lu, Zheng-Ning Liu, Ming-Ming Cheng, and Shiyong Hu · 2022
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SegNeXt: Rethinking convolutional attention design for semantic segmentation
Meng-Hao Guo, Cheng-Ze Lu, Qibin Hou, Zhengning Liu, Ming-Ming Cheng, and Shi-Min Hu · 2022
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Two-stream swin transformer with differentiable sobel operator for remote sensing image classification
Siyuan Hao, Bin Wu, Kun Zhao, Yuanxin Ye, and Wei Wang · 2022
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Shape-adaptive selection and measurement for oriented object detection
Liping Hou, Ke Lu, Jian Xue, and Yuqiu Li · 2022
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Conv2former: A simple transformer-style ConvNet for visual recognition
Qibin Hou, Cheng-Ze Lu, Ming-Ming Cheng, and Jiashi Feng · 2022
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Spatial group-wise enhance: Enhancing semantic feature learning in cnn
Yuxuan Li, Xiang Li, and Jian Yang · 2022
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More convnets in the 2020s: Scaling up kernels beyond 51x51 using sparsity
Shiwei Liu, Tianlong Chen, Xiaohan Chen, Xuxi Chen, Qiao Xiao, Boqian Wu, Mykola Pechenizkiy, Decebal Mocanu, and Zhangyang Wang · 2022
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A convnet for the 2020s
Zhuang Liu, Hanzi Mao, Chao-Yuan Wu, Christoph Feichtenhofer, Trevor Darrell, and Saining Xie · 2022
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A convnet for the 2020s
Zhuang Liu, Hanzi Mao, Chao-Yuan Wu, Christoph Feichtenhofer, Trevor Darrell, and Saining Xie · 2022
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Rtmdet: An empirical study of designing real-time object detectors
Chengqi Lyu, Wenwei Zhang, Haian Huang, Yue Zhou, Yudong Wang, Yanyi Liu, Shilong Zhang, and Kai Chen · 2022
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Transformer-based SAR image despeckling
Malsha V. Perera, Wele Gedara Chaminda Bandara, Jeya Maria Jose Valanarasu, and Vishal M. Patel · 2022
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FAIR1m: A benchmark dataset for fine-grained object recognition in high-resolution remote sensing imagery
Xian Sun, Peijin Wang, Zhiyuan Yan, Feng Xu, Ruiping Wang, Wenhui Diao, Jin Chen, Jihao Li, Yingchao Feng, Tao Xu, Martin Weinmann, Stefan Hinz, Cheng Wang, and Kun Fu · 2022
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Advancing plain vision transformer towards remote sensing foundation model
Di Wang, Qiming Zhang, Yufei Xu, Jing Zhang, Bo Du, Dacheng Tao, and Liangpei Zhang · 2022
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Pvt v2: Improved baselines with pyramid vision transformer
Wenhai Wang, Enze Xie, Xiang Li, Deng-Ping Fan, Kaitao Song, Ding Liang, Tong Lu, Ping Luo, and Ling Shao · 2022
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The KFIoU loss for rotated object detection
Xue Yang, Yue Zhou, Gefan Zhang, Jirui Yang, Wentao Wang, Junchi Yan, Xiaopeng Zhang, and Qi Tian · 2022
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Metaformer is actually what you need for vision
Weihao Yu, Mi Luo, Pan Zhou, Chenyang Si, Yichen Zhou, Xinchao Wang, Jiashi Feng, and Shuicheng Yan · 2022
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A survey of modern deep learning based object detection models
Syed Sahil Abbas Zaidi, Mohammad Samar Ansari, Asra Aslam, Nadia Kanwal, Mamoona Asghar, and Brian Lee · 2022
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Swinsunet: Pure transformer network for remote sensing image change detection
Cui Zhang, Liejun Wang, Shuli Cheng, and Yongming Li · 2022
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Resnest: Split-attention networks
Hang Zhang, Chongruo Wu, Zhongyue Zhang, Yi Zhu, Haibin Lin, Zhi Zhang, Yue Sun, Tong He, Jonas Mueller, R. Manmatha, Mu Li, and Alexander Smola · 2022
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Convnext v2: Co-designing and scaling convnets with masked autoencoders
Sanghyun Woo, Shoubhik Debnath, Ronghang Hu, Xinlei Chen, Zhuang Liu, In-So Kweon, and Saining Xie · 2023
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