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On the Viability of Monocular Depth Pre-training for Semantic Segmentation
We explore how pre-training a model to infer depth from a single image compares to pre-training the model for a semantic task, e. g. ImageNet classification, for the purpose of downstream transfer to semantic segmentation.
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