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@misc{Authors14,
author = {FirstName LastName},
title = {The frobnicatable foo filter},
note = {Face and Gesture submission ID 324. Supplied as additional material {\tt fg324.pdf}},
year = 2014
}
@misc{Authors14b,
author = {FirstName LastName},
title = {Frobnication tutorial},
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@article{1,
title={Deep Residual Learning for Image Recognition},
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year={2016},
pages={770-778}
}
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title={Cascade R-CNN: Delving Into High Quality Object Detection},
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journal={2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition},
year={2018},
pages={6154-6162}
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title={Instance Credibility Inference for Few-Shot Learning},
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journal={2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
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title={Deformable ConvNets V2: More Deformable, Better Results},
author={Xizhou Zhu and Han Hu and S. Lin and Jifeng Dai},
journal={2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
year={2019},
pages={9300-9308}
}
@inproceedings{5,
title={Few-Shot Learning Through an Information Retrieval Lens},
author={Eleni Triantafillou and R. Zemel and R. Urtasun},
booktitle={NIPS},
year={2017}
}
@article{6,
title={Learning a Deep Embedding Model for Zero-Shot Learning},
author={L. Zhang and T. Xiang and S. Gong},
journal={2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
year={2017},
pages={3010-3019}
}
@article{7,
title={Low-Shot Learning from Imaginary Data},
author={Yu-Xiong Wang and Ross B. Girshick and M. Hebert and Bharath Hariharan},
journal={2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition},
year={2018},
pages={7278-7286}
}
@article{8,
title={Meta-Learning for Semi-Supervised Few-Shot Classification},
author={Mengye Ren and Eleni Triantafillou and S. Ravi and J. Snell and Kevin Swersky and J. Tenenbaum and H. Larochelle and R. Zemel},
journal={ArXiv},
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volume={abs/1803.00676}
}
@inproceedings{9,
title={Matching Networks for One Shot Learning},
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@inproceedings{10,
title={Rapid Adaptation with Conditionally Shifted Neurons},
author={Tsendsuren Munkhdalai and Xingdi Yuan and Soroush Mehri and Adam Trischler},
booktitle={ICML},
year={2018}
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@inproceedings{11,
title={Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks},
author={Chelsea Finn and P. Abbeel and Sergey Levine},
booktitle={ICML},
year={2017}
}
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title={Few-Shot Object Detection via Feature Reweighting},
author={Bingyi Kang and Zhuang Liu and Xin Wang and F. Yu and Jiashi Feng and Trevor Darrell},
journal={2019 IEEE/CVF International Conference on Computer Vision (ICCV)},
year={2019},
pages={8419-8428}
}
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title={Meta-Learning to Detect Rare Objects},
author={Yu-Xiong Wang and D. Ramanan and M. Hebert},
journal={2019 IEEE/CVF International Conference on Computer Vision (ICCV)},
year={2019},
pages={9924-9933}
}
@inproceedings{14,
title={Few-Shot Object Detection and Viewpoint Estimation for Objects in the Wild},
author={Yang Xiao and Renaud Marlet},
booktitle={ECCV},
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@article{15,
title={Meta R-CNN: Towards General Solver for Instance-Level Low-Shot Learning},
author={Xiaopeng Yan and Ziliang Chen and Anni Xu and Xiaoxi Wang and Xiaodan Liang and Liang Lin},
journal={2019 IEEE/CVF International Conference on Computer Vision (ICCV)},
year={2019},
pages={9576-9585}
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title={Frustratingly Simple Few-Shot Object Detection},
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title={FSCE: Few-Shot Object Detection via Contrastive Proposal Encoding},
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journal={ArXiv},
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year={2005},
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pages={886-893 vol. 1}
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pages={I-I}
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title={You Only Look Once: Unified, Real-Time Object Detection},
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journal={2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
year={2016},
pages={779-788}
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@inproceedings{22,
title={SSD: Single Shot MultiBox Detector},
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booktitle={ECCV},
year={2016}
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title={YOLOv4: Optimal Speed and Accuracy of Object Detection},
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journal={ArXiv},
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@article{25,
title={YOLO9000: Better, Faster, Stronger},
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journal={2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
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}
@article{26,
title={YOLOv3: An Incremental Improvement},
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journal={ArXiv},
year={2018},
volume={abs/1804.02767}
}
@article{27,
title={Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks},
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year={2015},
volume={39},
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}
@article{28,
title={Cascade R-CNN: Delving Into High Quality Object Detection},
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journal={2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition},
year={2018},
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}
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journal={ArXiv},
year={2018},
volume={abs/1807.11590}
}
########################## use or not
@article{30,
title={Mask TextSpotter: An End-to-End Trainable Neural Network for Spotting Text with Arbitrary Shapes},
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title={Bounding Box Regression With Uncertainty for Accurate Object Detection},
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year={2019},
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title={Meta-Learning in Neural Networks: A Survey},
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year={2018},
pages={1199-1208}
}
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title={Matching Networks for One Shot Learning},
author={Oriol Vinyals and C. Blundell and T. Lillicrap and K. Kavukcuoglu and Daan Wierstra},
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}
@article{39,
title={Dynamic Few-Shot Visual Learning Without Forgetting},
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journal={2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition},
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@inproceedings{40,
title={Siamese Neural Networks for One-Shot Image Recognition},
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}
@article{41,
title={CosFace: Large Margin Cosine Loss for Deep Face Recognition},
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pages={5265-5274}
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title={ArcFace: Additive Angular Margin Loss for Deep Face Recognition},
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title={Deep Learning Face Representation by Joint Identification-Verification},
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booktitle={NIPS},
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}
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year={2019},
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@inproceedings{46,
title={Few-Shot Viewpoint Estimation},
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year={2019}
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@inproceedings{47,
title={Few-Shot Human Motion Prediction via Meta-learning},
author={Liangyan Gui and Yu-Xiong Wang and D. Ramanan and Jos{\'e} M. F. Moura},
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}
@article{48,
title={Feature Weighting and Boosting for Few-Shot Segmentation},
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journal={2019 IEEE/CVF International Conference on Computer Vision (ICCV)},
year={2019},
pages={622-631}
}
@article{49,
title={Few-Shot Learning With Localization in Realistic Settings},
author={Davis Wertheimer and Bharath Hariharan},
journal={2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
year={2019},
pages={6551-6560}
}
@article{50,
title={Tracking by Instance Detection: A Meta-Learning Approach},
author={Guangting Wang and Chong Luo and Xiaoyan Sun and Zhiwei Xiong and Wenjun Zeng},
journal={2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
year={2020},
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title={Few-Shot Adaptive Faster R-CNN},
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journal={2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
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pages={7166-7175}
}
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title={Meta-RCNN: Meta Learning for Few-Shot Object Detection},
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journal={Proceedings of the 28th ACM International Conference on Multimedia},
year={2020}
}
@article{55,
title={Few-Shot Object Detection via Knowledge Transfer},
author={Geonuk Kim and Hong G Jung and Seong-Whan Lee},
journal={2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC)},
year={2020},
pages={3564-3569}
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title={MM-FSOD: Meta and metric integrated few-shot object detection},
author={Yuewen Li and W. Feng and Shuchang Lyu and Qi Zhao and Xuliang Li},
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year={2020},
volume={abs/2012.15159}
}
@inproceedings{57,
title={One-Shot Object Detection with Co-Attention and Co-Excitation},
author={Ting-I Hsieh and Yi-Chen Lo and Hwann-Tzong Chen and Tyng-Luh Liu},
booktitle={NeurIPS},
year={2019}
}
@inproceedings{58,
title={Os2d: One-stage one-shot object detection by matching anchor features},
author={Osokin, Anton and Sumin, Denis and Lomakin, Vasily},
booktitle={European Conference on Computer Vision},
pages={635--652},
year={2020},
organization={Springer}
}
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title={Cooperating RPN's Improve Few-Shot Object Detection},
author={Weilin Zhang and Yu-Xiong Wang and D. Forsyth},
journal={ArXiv},
year={2020},
volume={abs/2011.10142}
}
@article{61,
title={Few-Shot Object Detection With Attention-RPN and Multi-Relation Detector},
author={Qi Fan and W. Zhuo and Yu-Wing Tai},
journal={2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
year={2020},
pages={4012-4021}
}
@inproceedings{62,
title={LSTD: A Low-Shot Transfer Detector for Object Detection},
author={Hao Chen and Yali Wang and Guoyou Wang and Y. Qiao},
booktitle={AAAI},
year={2018}
}
@article{63,
title={RepMet: Representative-Based Metric Learning for Classification and Few-Shot Object Detection},
author={Eli Schwartz and Leonid Karlinsky and J. Shtok and Sivan Harary and Mattias Marder and Sharath Pankanti and R. Feris and Abhishek Kumar and R. Giryes and A. Bronstein},
journal={2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
year={2019},
pages={5192-5201}
}
@article{64,
title={Multi-Scale Positive Sample Refinement for Few-Shot Object Detection},
author={Jiaxi Wu and Songtao Liu and Di Huang and Yunhong Wang},
journal={ArXiv},
year={2020},
volume={abs/2007.09384}
}
@article{65,
title={Robust Visual Tracking via Hierarchical Convolutional Features},
author={Chao Ma and Jia-Bin Huang and Xiaokang Yang and Ming-Hsuan Yang},
journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
year={2019},
volume={41},
pages={2709-2723}
}
@article{66,
title={SiamRPN++: Evolution of Siamese Visual Tracking With Very Deep Networks},
author={B. Li and Wei Wu and Q. Wang and Fangyi Zhang and Junliang Xing and Junjie Yan},
journal={2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
year={2019},
pages={4277-4286}
}
@article{67,
title={SiamCAR: Siamese Fully Convolutional Classification and Regression for Visual Tracking},
author={Dongyan Guo and J. Wang and Ying Cui and Zhenhua Wang and Shengyong Chen},
journal={2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
year={2020},
pages={6268-6276}
}
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title={Selective Search for Object Recognition},
author={J. Uijlings and K. V. D. Sande and T. Gevers and A. Smeulders},
journal={International Journal of Computer Vision},
year={2013},
volume={104},
pages={154-171}
}
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