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Found 4 papers, 2 papers with code
To Adapt or Not to Adapt? Real-Time Adaptation for Semantic Segmentation
The goal of Online Domain Adaptation for semantic segmentation is to handle unforeseeable domain changes that occur during deployment, like sudden weather events.
Online Domain Adaptation for Semantic Segmentation in Ever-Changing Conditions
Unsupervised Domain Adaptation (UDA) aims at reducing the domain gap between training and testing data and is, in most cases, carried out in offline manner.
Real-Time Semantic Stereo Matching
Scene understanding is paramount in robotics, self-navigation, augmented reality, and many other fields.
Enhancing self-supervised monocular depth estimation with traditional visual odometry
Estimating depth from a single image represents an attractive alternative to more traditional approaches leveraging multiple cameras.
Ranked #41 on
Monocular Depth Estimation
on KITTI Eigen split
