refs.bib

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}

@misc{2018-VGG-16-RF-cal,
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@misc{2019-Diff-Conv,
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@article{2019-MobileNet-v3,
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@misc{2017-FC-BP,
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  year = 2017,
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@misc{2018-NMS,
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  title =       {Object Detection and Image Classification with YOLO},
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  year = 2018,
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}

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  year = {2017},
}

@article{2018-Softer-NMS,
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@misc{2018-Sigmoid,
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@article{2018-YOLO-v3,
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@article{2016-FPN,
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@article{2017-RetinaNet,
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  journal = {arXiv},
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  year = {2017},
}

@article{2015-BN,
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@article{2018-GN,
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  journal = {arXiv},
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}

@article{2017-DSSD,
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  year = {2017},
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@article{2018-BN-help-opt,
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  journal = {arXiv},
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  year = {2018},
}

@article{2017-Mask-RCNN,
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  journal = {arXiv},
  volume = {\emph{arXiv: 1703.06870}},
  year = {2017},
}

@article{2016-R-FCN,
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  title = {R-FCN: Object Detection via Region-based Fully Convolutional Networks},
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  year = {2016},
}

@article{2017-Light-head,
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  title = {Light-Head R-CNN: In Defense of Two-stage Object Detector},
  journal = {arXiv},
  volume = {\emph{arXiv: 1711.07264}},
  year = {2017},
}

@article{2019-Double-head,
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  title = {Rethinking Classification and Localization in R-CNN},
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}

@article{2017-Cascade-RCNN,
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  title = {Cascade R-CNN: Delving into High Quality Object Detection},
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  year = {2017},
}

@article{2018-CornerNet,
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  title = {CornerNet: Detecting Objects as Paired Keypoints},
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  year = {2018},
}

@article{2019-ExtremeNet,
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  year = {2019},
}

@article{2019-CenterNet,
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@article{2019-FCOS,
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@article{2019-LapNet,
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@article{2017-RefineDet,
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@article{2018-Grid-R-CNN,
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  year = {2018},
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@article{2019-GIoU-loss,
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@article{2019-TridentNet,
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  year = {2019},
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@article{2019-CSN,
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@article{2019-FSAF,
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@article{2019-GA-RPN,
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@article{2019-ASFF,
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@article{2019-Sampling-Free,
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@article{2019-SAPD,
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@article{2019-FoveaBox,
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@article{2018-PANet,
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@article{2019-AugFPN,
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@inproceedings{2019-LTR,
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}

@article{2019-MFPN,
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}

@article{2019-ATSS,
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@article{2019-SABL,
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@article{2018-BoT,
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@article{2017-SENet,
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@article{2019-SKNet,
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@article{2020-NETNet,
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@article{2017-DES,
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  title = {Single-Shot Object Detection with Enriched Semantics},
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}

@article{2017-RFBNet,
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  title = {Receptive Field Block Net for Accurate and Fast Object Detection},
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@inproceedings{2018-STDN,
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  title = {Scale-Transferrable Object Detection},
  booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition(CVPR)},
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@inproceedings{2019-HSD,
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  year = {2019}
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@inproceedings{2019-LFIP,
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  title = {Efficient Featurized Image Pyramid Network for Single Shot Detector},
  booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
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  year = {2019}
}

@inproceedings{2018-PFPNet,
  author = {Kim, Seung-Wook and Kook, Hyong-Keun and Sun, Jee-Young and Kang, Mun-Cheon and Ko, Sung-Jea},
  title = {Parallel Feature Pyramid Network for Object Detection},
  booktitle = {The European Conference on Computer Vision (ECCV)},
  month = {September},
  year = {2018}
}

@inproceedings{2019-LSN,
  author = {Wang, Tiancai and Anwer, Rao Muhammad and Cholakkal, Hisham and Khan, Fahad Shahbaz and Pang, Yanwei and Shao, Ling},
  title = {Learning Rich Features at High-Speed for Single-Shot Object Detection},
  booktitle = {The IEEE International Conference on Computer Vision (ICCV)},
  month = {October},
  year = {2019}
}

@inproceedings{2019-EFGRNet,
  author = {Nie, Jing and Anwer, Rao Muhammad and Cholakkal, Hisham and Khan, Fahad Shahbaz and Pang, Yanwei and Shao, Ling},
  title = {Enriched Feature Guided Refinement Network for Object Detection},
  booktitle = {The IEEE International Conference on Computer Vision (ICCV)},
  month = {October},
  year = {2019}
}

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  title = {RON: Reverse Connection with Objectness Prior Networks for Object Detection},
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  year = {2017},
}

@article{2018-BPN,
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  year = {2018},
}

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  year = {2018},
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@article{2018-SN,
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@article{2018-SAGAN,
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  title = {GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium},
  journal = {arXiv},
  volume = {\emph{arXiv: 1706.08500}},
  year = {2017},
}

@article{2018-BigGAN,
  author = {Brock, Andrew and Donahue, Jeff and Simonyan, Karen},
  title = {Large Scale GAN Training for High Fidelity Natural Image Synthesis},
  journal = {arXiv},
  volume = {\emph{arXiv: 1809.11096}},
  year = {2018},
}

@article{2016-IS,
  author = {Salimans, Tim and Goodfellow, Ian and Zaremba, Wojciech and Cheung, Vicki and Radford, Alec and Chen, Xi},
  title = {Improved Techniques for Training GANs},
  journal = {arXiv},
  volume = {\emph{arXiv: 1606.03498}},
  year = {2016},
}

@article{2019-CRGAN,
  author = {Zhang, Han and Zhang, Zihao and Odena, Augustus and Lee, Honglak},
  title = {Consistency Regularization for Generative Adversarial Networks},
  journal = {arXiv},
  volume = {\emph{arXiv: 1910.12027}},
  year = {2019},
}

@article{2020-ICR,
  author = {Zhao, Zhengli and Singh, Sameer and Lee, Honglak and Zhang, Zihao and Odena, Augustus and Zhang, Han},
  title = {Improved Consistency Regularization for GANs},
  journal = {arXiv},
  volume = {\emph{arXiv: 2002.04724}},
  year = {2020},
}

@article{2016-pix2pix,
  author = {Isola, Phillip and Zhu, Junyan and Zhou, Tinghui and Efros, Alexei},
  title = {Image-to-image Translation with Conditional Adversarial Networks},
  journal = {arXiv},
  volume = {\emph{arXiv: 1611.07004}},
  year = {2016},
}

@article{2015-DCGAN,
  author = {Radford, Alec and Metz, Luke and Chintala, Soumith},
  title = {Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks},
  journal = {arXiv},
  volume = {\emph{arXiv: 1511.06434}},
  year = {2015},
}

@article{2017-ProGAN,
  author = {Karras, Tero and Aila, Timo and Laine, Samuli and Lehtinen, Jaakko},
  title = {Progressive Growing of GANs for Improved Quality, Stability and Variation},
  journal = {arXiv},
  volume = {\emph{arXiv: 1710.10196}},
  year = {2017},
}

@article{2017-WGAN-GP,
  author = {Gulrajani, Ishaan and  Ahmed, Faruk and Arjovsky, Martin and Dumoulin, Vincent and Courville, Aaron},
  title = {Improved Training of Wasserstein GANs},
  journal = {arXiv},
  volume = {\emph{arXiv: 1704.00028}},
  year = {2017},
}

@article{2018-StyleGAN,
  author = {Karras, Tero and Laine, Samuli and Ailo, Timo},
  title = {A Style-Based Generator Architecture for Generative Adversarial Networks},
  journal = {arXiv},
  volume = {\emph{arXiv: 1812.04948}},
  year = {2018},
}

@article{2019-StyleGAN2,
  author = {Karras, Tero and Laine, Samuli and Aittala, Miika and Hellsten, Janne},
  title = {Analyzing and Improving the Image Quality of StyleGAN},
  journal = {arXiv},
  volume = {\emph{arXiv: 1912.04958}},
  year = {2019},
}

@article{2017-ShuffleNet,
  author = {Zhang, Xiangyu and Zhou, Xinyu and Lin, Mengxiao and Sun, Jian},
  title = {ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices},
  journal = {arXiv},
  volume = {\emph{arXiv: 1707.01083}},
  year = {2017},
}

@article{2018-ShuffleNet-v2,
  author = {Ma, Ningning and Zhang, Xiangyu and Zheng, Haitao and Sun, Jian},
  title = {ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design},
  journal = {arXiv},
  volume = {\emph{arXiv: 1807.11164}},
  year = {2018},
}

@article{2016-SqueezeNet,
  author = {Iandola, Forrest and Han, Song and Moskewicz, Matthew and Ashraf, Khalid and Dally, William and Keutzer, Kurt},
  title = {SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size},
  journal = {arXiv},
  volume = {\emph{arXiv: 1602.07360}},
  year = {2016},
}

@article{2016-Xception,
  author = {Chollet, Francois},
  title = {Xception: Deep Learning with Depthwise Separable Convolutions},
  journal = {arXiv},
  volume = {\emph{arXiv: 1610.02357}},
  year = {2016},
}

@article{2018-MnasNet,
  author = {Tan, Mingxing and Chen, Bo and Pang, Ruoming and Vasudevan, Vijay and Sandler, Mark and Howard, Andrew and Le, Quoc},
  title = {MnasNet: Platform-Aware Neural Architecture Search for Mobile},
  journal = {arXiv},
  volume = {\emph{arXiv: 1807.11626}},
  year = {2018},
}

@article{2019-GhostNet,
  author = {Han, Kai and Wang, Yunhe and Tian, Qi and Guo, Jianyuan and Xu, Chunjing and Xu, Chang},
  title = {GhostNet: More Features from Cheap Operations},
  journal = {arXiv},
  volume = {\emph{arXiv: 1911.11907}},
  year = {2019},
}

@article{2020-VarifocalNet,
  author = {Zhang, Haoyang and Wang, Ying and Dayoub, Feras and Sunderhauf, Niko},
  title = {VarifocalNet: An IoU-aware Dense Object Detector},
  journal = {arXiv},
  volume = {\emph{arXiv: 2008.13367}},
  year = {2020},
}

@article{2024-DEIM,
  author = {Huang, Shihua and Lu, Zhichao and Cun, Xiaodong and Yu, Yongjun and
      Zhou, Xiao and Shen, Xi},
  title = {DEIM: DETR with Improved Matching for Fast Convergence},
  journal = {arXiv},
  volume = {\emph{arXiv: 2412.04234}},
  year = {2024},
}

@article{2017-Attention,
  author = {Vaswani, Ashish and Shazeer, Noam and Parmar, Niki and Uszkoreit,
      Jakob and Jones, Llion and Gomez, Aidan and Kaiser, Lukasz and Polosukhin, Illia},
  title = {Attention Is All You Need},
  journal = {arXiv},
  volume = {\emph{arXiv: 1706.03762}},
  year = {2017},
}