TASK	DATASET	MODEL	METRIC NAME	METRIC VALUE	GLOBAL RANK	REMOVE
Monocular Depth Estimation	NYU-Depth V2	Eigen et al.	RMSE	0.641	# 28

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Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-Scale Convolutional Architecture

ICCV 2015 • David Eigen • Rob Fergus

In this paper we address three different computer vision tasks using a single basic architecture: depth prediction, surface normal estimation, and semantic labeling. We use a multiscale convolutional network that is able to adapt easily to each task using only small modifications, regressing from the input image to the output map directly... (read more)