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Achieving Robustness in Classification Using Optimal Transport With Hinge Regularization.

, , , , , and . CVPR, page 505-514. Computer Vision Foundation / IEEE, (2021)

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Fast and Robust Face Detection on a Parallel Optimized Architecture Implemented on FPGA., , , , and . IEEE Trans. Circuits Syst. Video Technol., 19 (4): 597-602 (2009)DP-SGD Without Clipping: The Lipschitz Neural Network Way., , , , , , , , and . CoRR, (2023)Watershed parallel algorithm for asynchronous processors array., , , and . ICME (1), page 793-796. IEEE Computer Society, (2002)Existence, Stability and Scalability of Orthogonal Convolutional Neural Networks., , and . J. Mach. Learn. Res., (2022)Pay attention to your loss : understanding misconceptions about Lipschitz neural networks., , , , , and . NeurIPS, (2022)Object Detection with Probabilistic Guarantees: A Conformal Prediction Approach., , , , , and . SAFECOMP Workshops, volume 13415 of Lecture Notes in Computer Science, page 316-329. Springer, (2022)Real-Time Video Convolutional Face Finder on Embedded Platforms., , and . EURASIP J. Embed. Syst., (2007)A Comparison between Multi-Layer Perceptrons and Convolutional Neural Networks for Text Image Super-Resolution., , and . VISAPP (1), page 84-91. SciTePress, (2015)Embedded facial image processing with Convolutional Neural Networks., , and . ISCAS, page 261-264. IEEE, (2010)Quantized Approximately Orthogonal Recurrent Neural Networks., , and . CoRR, (2024)