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Ten Questions for a Theory of Vision
2022
Frontiers in Computer Science
By and large, the remarkable progress in visual object recognition in the last few years has been fueled by the availability of huge amounts of labelled data paired with powerful, bespoke computational resources. This has opened the doors to the massive use of deep learning, which has led to remarkable improvements on new challenging benchmarks. While acknowledging this point of view, in this paper I claim that the time has come to begin working towards a deeper understanding of visual
doi:10.3389/fcomp.2021.701248
fatcat:zzxmdu35ufhe3lg7ski6uontka