The developmental trajectory of object recognition robustness: Children are like small adults but unlike big deep neural networks.

"data and code: all code and data are available from this repository: https://github com/wichmann-lab/robustness-development ."

"data and code: all code and data are available from this repository: https://github com/wichmann-lab/robustness-development ."

"Commercial relationships: none. 9: This is only true for the eidolon and noise experiment. Owing to an unnoticed cropping error, the image size in the cue conflict experiment was 224 × 224 pixels, corresponding, at a viewing distance of approximately 60 cm, with only 3.5° × 3.5° of visual angle. We do not think that this small change in absolute size had any influence on the data or results we report."

"The authors thank the members of the Wichmann-lab for their support and insightful discussions. Special thanks go to Uli Wannek for excellent technical advice and Silke Gramer for extremely kind and patient administrative support. Additionally, we express our gratitude to Gert Westermann and Hannes Rakoczy for their advice and help with designing the children’s study and to all children and teachers who participated in our study. Felix Wichmann is a member of the Machine Learning Cluster of Excellence, funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany's Excellence Strategy – EXC number 2064/1 – Project number 390727645. We acknowledge support from the Open Access Publication Fund of the University of Tübingen. Some preliminary parts of this work have been presented as an oral at the Annual Meeting of the Vision Sciences Society 2021 and at the 3rd Workshop on Shared Visual Representations in Human and Machine Intelligence (SVRHM 2021) of the Neural Information Processing Systems (NeurIPS) conference."