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SegMix: Co-occurrence Driven Mixup for Semantic Segmentation and Adversarial Robustness.

, , , and . Int. J. Comput. Vis., 131 (3): 701-716 (March 2023)

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Position, Padding and Predictions: A Deeper Look at Position Information in CNNs., , , , and . CoRR, (2021)GePSAn: Generative Procedure Step Anticipation in Cooking Videos., , , , , and . ICCV, page 2976-2985. IEEE, (2023)SegMix: Co-occurrence Driven Mixup for Semantic Segmentation and Adversarial Robustness., , , and . Int. J. Comput. Vis., 131 (3): 701-716 (March 2023)Stochastic Image-to-Video Synthesis Using cINNs., , , , , and . CVPR, page 3742-3753. Computer Vision Foundation / IEEE, (2021)RankMI: A Mutual Information Maximizing Ranking Loss., , , and . CVPR, page 14350-14359. Computer Vision Foundation / IEEE, (2020)SAGE: Saliency-Guided Mixup with Optimal Rearrangements., , , , , and . BMVC, page 484. BMVA Press, (2022)Joint Spatial and Layer Attention for Convolutional Networks., , and . BMVC, page 2. BMVA Press, (2019)Efficient action spotting based on a spacetime oriented structure representation., , , and . CVPR, page 1990-1997. IEEE Computer Society, (2010)From Actemes to Action: A Strongly-Supervised Representation for Detailed Action Understanding., , and . ICCV, page 2248-2255. IEEE Computer Society, (2013)Action Spotting and Recognition Based on a Spatiotemporal Orientation Analysis., , , and . IEEE Trans. Pattern Anal. Mach. Intell., 35 (3): 527-540 (2013)