Search Results for author: Thomas P. O'Connell

Found 3 papers, 0 papers with code

Approaching human 3D shape perception with neurally mappable models

no code implementations22 Aug 2023 Thomas P. O'Connell, Tyler Bonnen, Yoni Friedman, Ayush Tewari, Josh B. Tenenbaum, Vincent Sitzmann, Nancy Kanwisher

Finally, we find that while the models trained with multi-view learning objectives are able to partially generalize to new object categories, they fall short of human alignment.


Beyond Flatland: Pre-training with a Strong 3D Inductive Bias

no code implementations30 Nov 2021 Shubhaankar Gupta, Thomas P. O'Connell, Bernhard Egger

Pre-training on large-scale databases consisting of natural images and then fine-tuning them to fit the application at hand, or transfer-learning, is a popular strategy in computer vision.

Data Augmentation Inductive Bias +1

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