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Region Tracking in an Image Sequence: Preventing Driver Inattention., , , and . CoRR, (2019)SegMix: Co-occurrence Driven Mixup for Semantic Segmentation and Adversarial Robustness., , , and . CoRR, (2021)Understanding Video Transformers via Universal Concept Discovery., , , , , and . CoRR, (2024)Quantifying and Learning Static vs. Dynamic Information in Deep Spatiotemporal Networks., , , , , and . CoRR, (2022)Multi-modal News Understanding with Professionally Labelled Videos (ReutersViLNews)., , , , , , , , , and 1 other author(s). CoRR, (2024)Shape or Texture: Understanding Discriminative Features in CNNs., , , , , , and . ICLR, OpenReview.net, (2021)A Deeper Dive Into What Deep Spatiotemporal Networks Encode: Quantifying Static vs. Dynamic Information., , , , , and . CVPR, page 13979-13989. IEEE, (2022)Maximizing Mutual Shape Information., , , , , and . BMVC, page 909. BMVA Press, (2022)Feature Binding with Category-Dependant MixUp for Semantic Segmentation and Adversarial Robustness., , , and . BMVC, BMVA Press, (2020)Global Pooling, More than Meets the Eye: Position Information is Encoded Channel-Wise in CNNs., , , , and . ICCV, page 773-781. IEEE, (2021)