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Regional Homogeneity: Towards Learning Transferable Universal Adversarial Perturbations Against Defenses., , , , , и . CoRR, (2019)SwapMix: Diagnosing and Regularizing the Over-Reliance on Visual Context in Visual Question Answering., , , , , и . CVPR, стр. 5068-5078. IEEE, (2022)Searching for TrioNet: Combining Convolution with Local and Global Self-Attention., , , , и . BMVC, стр. 141. BMVA Press, (2021)Bridging the Domain Gap: Self-Supervised 3D Scene Understanding with Foundation Models., , , и . NeurIPS, (2023)Continual Adversarial Defense., , , , , , , , и . CoRR, (2023)Learning from Temporal Gradient for Semi-supervised Action Recognition., , , , , , , и . CVPR, стр. 3242-3252. IEEE, (2022)Learning Transferable Adversarial Examples via Ghost Networks., , , , , и . AAAI, стр. 11458-11465. AAAI Press, (2020)CAKES: Channel-wise Automatic KErnel Shrinking for Efficient 3D Networks., , , , и . AAAI, стр. 3225-3233. AAAI Press, (2021)R4D: Utilizing Reference Objects for Long-Range Distance Estimation., , , , , , и . ICLR, OpenReview.net, (2022)Theoretical model construction and structure optimization of electromagnetic flow transducer based on neural network., , , , , , и . J. Intell. Fuzzy Syst., 37 (3): 3489-3498 (2019)