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On the Capability of Neural Networks to Generalize to Unseen Category-Pose Combinations., , , , , , , , and . CoRR, (2020)Parsing and Summarizing Infographics with Synthetically Trained Icon Detection., , , , , , , , , and . PacificVis, page 31-40. IEEE, (2021)Three approaches to facilitate invariant neurons and generalization to out-of-distribution orientations and illuminations., , , , , , , , , and . Neural Networks, (2022)Look Around! Unexpected gains from training on environments in the vicinity of the target., , , , , , and . CoRR, (2024)Human or Machine? Turing Tests for Vision and Language., , , , , , , , , and 5 other author(s). CoRR, (2022)Three approaches to facilitate DNN generalization to objects in out-of-distribution orientations and illuminations: late-stopping, tuning batch normalization and invariance loss., , , , , , , , , and . CoRR, (2021)Small in-distribution changes in 3D perspective and lighting fool both CNNs and Transformers., , , , and . CoRR, (2021)When and how convolutional neural networks generalize to out-of-distribution category-viewpoint combinations., , , , , , , , and . Nat. Mach. Intell., 4 (2): 146-153 (2022)When Pigs Fly: Contextual Reasoning in Synthetic and Natural Scenes., , , , , and . ICCV, page 255-264. IEEE, (2021)To Which Out-Of-Distribution Object Orientations Are DNNs Capable of Generalizing?, , , , , , and . CoRR, (2021)