This talk by @wjscheirer is also epic with respect to vision robustness subject: https://www.youtube.com/watch?time_continue=2&v=9497PCSNss4&ab_channel=AustralianCentreforRoboticVision … , also he makes several points which I think are relevant to recent discussion as well as recent Bengio paper https://arxiv.org/pdf/1711.11561.pdf …
think your neural network for vision is robust? try this.https://robust.vision/benchmark/leaderboard/ …
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It's not enough to recognize patterns. When looking at a chair or a table, one must also detect which part of it is closer to or further from the camera. DNNs are not helpful in this regard.
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