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A monocular depth estimation model architecture improved with semantic segmentation

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We need to go deeper

A fully convolutional model towards monocular depth estimation. This project builds heavily from "Unsupervised Monocular Depth Estimation with Left-Right Consistency (Godard, Adoha, Brostow, 2016)" and extends their work by concatenating the output of a semantic segmentation model at the second-last output scale. This produced more visually appealing disparity maps.

My computer vision final project, completed with a partner in my class.

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A monocular depth estimation model architecture improved with semantic segmentation

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