Learning a Geometric Representation for Data-Efficient Depth Estimation via Gradient Field and Contrastive Loss
Dongseok Shim H. Jin Kim Dongseok Shim H. Jin Kim
Estimating a depth map from a single RGB image has been investigated widely for localization, mapping, and 3- dimensional object detection. Recent studies on a single-view depth estimation are mostly based on deep Convolutional neural Networks (ConvNets) which require a large amount of training data paired with densely annotated labels. Depth annotation tasks are both expensive and inefficient, so...