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SATBench: Benchmarking the speed-accuracy tradeoff in object recognition by humans and dynamic neural networks


Jun 16, 2022
Ajay Subramanian, Sara Price, Omkar Kumbhar, Elena Sizikova, Najib J. Majaj, Denis G. Pelli

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* 19 pages, 12 figures. Under Review at NeurIPS Datasets and Benchmarks Track 2022 

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Using Human Psychophysics to Evaluate Generalization in Scene Text Recognition Models


Jun 30, 2020
Sahar Siddiqui, Elena Sizikova, Gemma Roig, Najib J. Majaj, Denis G. Pelli

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Brain-Like Object Recognition with High-Performing Shallow Recurrent ANNs


Oct 28, 2019
Jonas Kubilius, Martin Schrimpf, Kohitij Kar, Ha Hong, Najib J. Majaj, Rishi Rajalingham, Elias B. Issa, Pouya Bashivan, Jonathan Prescott-Roy, Kailyn Schmidt, Aran Nayebi, Daniel Bear, Daniel L. K. Yamins, James J. DiCarlo

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* NeurIPS 2019 (Oral). Code available at https://github.com/dicarlolab/neurips2019 

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Deep Neural Networks Rival the Representation of Primate IT Cortex for Core Visual Object Recognition


Jun 12, 2014
Charles F. Cadieu, Ha Hong, Daniel L. K. Yamins, Nicolas Pinto, Diego Ardila, Ethan A. Solomon, Najib J. Majaj, James J. DiCarlo

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* 35 pages, 12 figures, extends and expands upon arXiv:1301.3530 

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The Neural Representation Benchmark and its Evaluation on Brain and Machine


Jan 25, 2013
Charles F. Cadieu, Ha Hong, Dan Yamins, Nicolas Pinto, Najib J. Majaj, James J. DiCarlo

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* The v1 version contained incorrectly computed kernel analysis curves and KA-AUC values for V4, IT, and the HT-L3 models. They have been corrected in this version 

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