Can deep learning match the efficiency of human visual long-term memory to store object details?. (arXiv:2204.13061v1 [cs.LG])

Humans have a remarkably large capacity to store detailed visual information
in long-term memory even after a single exposure, as demonstrated by classic
experiments in psychology. For example, Standing (1973) showed that humans
could recognize with high accuracy thousands of pictures that they had seen
only once a few days prior to a recognition test. In deep learning, the primary
mode of incorporating new information into a model is through gradient descent
in the model's parameter space. This paper asks …

arxiv deep learning efficiency human learning long-term memory