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[BA87]

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[CLO+20]

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[EBWF24]

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[FYP+21]

Yuantao Feng, Shiqi Yu, Hanyang Peng, Yan-ran Li, and Jianguo Zhang. Detect faces efficiently: a survey and evaluations. IEEE Transactions on Biometrics, Behavior, and Identity Science, 2021.

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[LGG+18]

Tsung-Yi Lin, Priya Goyal, Ross Girshick, Kaiming He, and Piotr Dollár. Focal loss for dense object detection. arXiv ePrint 1708.02002, 2018.

[LSP23]

Philipp Lindenberger, Paul-Edouard Sarlin, and Marc Pollefeys. Lightglue: local feature matching at light speed. arXiv ePrint 2306.13643, 2023.

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Pablo Márquez-Neila, Javier López-Alberca, José M. Buenaposada, and Luis Baumela. Speeding-up homography estimation in mobile devices. J. Real-Time Image Process., 11(1):141–154, January 2016. URL: https://doi.org/10.1007/s11554-012-0314-1, doi:10.1007/s11554-012-0314-1.

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Dmytro Mishkin, Jiri Matas, and Michal Perdoch. Mods: fast and robust method for two-view matching. Computer Vision and Image Understanding, 141:81 – 93, 2015.

[MTB+19]

Arun Mukundan, Giorgos Tolias, Andrei Bursuc, Hervé Jégou, and Ondřej Chum. Understanding and improving kernel local descriptors. International Journal of Computer Vision, 2019.

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Samuel G Müller and Frank Hutter. Trivialaugment: tuning-free yet state-of-the-art data augmentation. In Proceedings of the IEEE/CVF international conference on computer vision, 774–782. 2021.

[NCR+22]

Anguelos Nicolaou, Vincent Christlein, Edgar Riba, Jian Shi, Georg Vogeler, and Mathias Seuret. Tormentor: deterministic dynamic-path, data augmentations with fractals. 2022. URL: https://arxiv.org/abs/2204.03776, doi:10.48550/ARXIV.2204.03776.

[PautratLinL+21]

Rémi Pautrat*, Juan-Ting Lin*, Viktor Larsson, Martin R. Oswald, and Marc Pollefeys. Sold2: self-supervised occlusion-aware line description and detection. In Computer Vision and Pattern Recognition (CVPR). 2021.

[PDP20]

Duc Duy Pham, Gurbandurdy Dovletov, and Josef Pauli. A differentiable convolutional distance transform layer for improved image segmentation. Pattern Recognition, 12544:432 – 444, 2020.

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Christoph Reich, Biplob Debnath, Deep Patel, and Srimat Chakradhar. Differentiable jpeg: the devil is in the details. In IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 2024.

[ROF+21]

Denys Rozumnyi, Martin R. Oswald, Vittorio Ferrari, Jiri Matas, and Marc Pollefeys. Defmo: deblurring and shape recovery of fast moving objects. In CVPR. 2021.

[SEG17]

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[SSSF+23]

Jan Sellner, Silvia Seidlitz, Alexander Studier-Fischer, Alessandro Motta, Berkin Özdemir, Beat Peter Müller-Stich, Felix Nickel, and Lena Maier-Hein. Semantic segmentation of surgical hyperspectral images under geometric domain shifts. 2023. arXiv:2303.10972.

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Richard Shin and Dawn Song. Jpeg-resistant adversarial images. In NIPS Workshop on Machine Learning and Computer Security, volume 1, 8. 2017.

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[SK20]

Saurabh Singh and Shankar Krishnan. Filter response normalization layer: eliminating batch dependence in the training of deep neural networks. In CVPR. 2020.

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[SSW+21]

Jiaming Sun, Zehong Shen, Yuang Wang, Hujun Bao, and Xiaowei Zhou. LoFTR: detector-free local feature matching with transformers. In CVPR. 2021.

[TBLN+20]

Yurun Tian, Axel Barroso Laguna, Tony Ng, Vassileios Balntas, and Krystian Mikolajczyk. Hynet: learning local descriptor with hybrid similarity measure and triplet loss. In NeurIPS. 2020.

[TFT20]

Michał Tyszkiewicz, Pascal Fua, and Eduard Trulls. Disk: learning local features with policy gradient. Advances in Neural Information Processing Systems, 33:14254–14265, 2020.

[YHO+19]

Sangdoo Yun, Dongyoon Han, Seong Joon Oh, Sanghyuk Chun, Junsuk Choe, and Youngjoon Yoo. Cutmix: regularization strategy to train strong classifiers with localizable features. In International Conference on Computer Vision (ICCV). 2019.

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[Zha19]

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[ZBTvdW22]

Simone Zini, Marco Buzzelli, Bartłomiej Twardowski, and Joost van de Weijer. Planckian jitter: enhancing the color quality of self-supervised visual representations. arXiv preprint arXiv:2202.07993, 2022.

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