Researchers: Deep Learning Vision Is Very Different from Human Vision
Mistaking a teapot shape for a golf ball, due to surface features, is one striking example from a recent open-access paperThe networks did “a poor job of identifying such items as a butterfly, an airplane and a banana,” according to the researchers. The explanation they propose is that “Humans see the entire object, while the artificial intelligence networks identify fragments of the object.”
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