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With the advent of large labelled datasets and high-capacity models, theperformance of machine vision systems has been improving rapidly. However, thetechnology has still major limitations, starting from the fact that differentvision problems are still solved by different models, trained from scratch orfine-tuned on the target data. The human visual system, in stark contrast,learns a universal representation for vision in the early life of anindividual. This representation works well for an enormous variety of visionproblems, with little or no change, with the major advantage of requiringlittle training data to solve any of them.

Universal representations:The missing link between faces, text, planktons, and cat breeds