AutoDispNet: Improving Disparity Estimation With AutoML

ICCV 2019 Tonmoy SaikiaYassine MarrakchiArber ZelaFrank HutterThomas Brox

Much research work in computer vision is being spent on optimizing existing network architectures to obtain a few more percentage points on benchmarks. Recent AutoML approaches promise to relieve us from this effort... (read more)

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