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Faster training of Mask R-CNN by focusing on instance boundaries., and . Comput. Vis. Image Underst., (2019)Increasing the robustness of DNNs against image corruptions by playing the Game of Noise., , , , , , and . CoRR, (2020)Exemplary Natural Images Explain CNN Activations Better than Feature Visualizations., , , , , , and . CoRR, (2020)Scale Alone Does not Improve Mechanistic Interpretability in Vision Models., , and . CoRR, (2023)Sensitivity of Slot-Based Object-Centric Models to their Number of Slots., , , , and . CoRR, (2023)A Simple Way to Make Neural Networks Robust Against Diverse Image Corruptions., , , , , , and . ECCV (3), volume 12348 of Lecture Notes in Computer Science, page 53-69. Springer, (2020)Contrastive Learning Inverts the Data Generating Process., , , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 12979-12990. PMLR, (2021)How Well do Feature Visualizations Support Causal Understanding of CNN Activations?, , , , , and . NeurIPS, page 11730-11744. (2021)Increasing Confidence in Adversarial Robustness Evaluations., , , and . NeurIPS, (2022)Reconstructing Complex Cardiac Excitation Waves From Incomplete Data Using Echo State Networks and Convolutional Autoencoders., , , , and . Frontiers Appl. Math. Stat., (2020)