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Found 7 papers, 3 papers with code
A Probabilistic Framework for Visual Localization in Ambiguous Scenes
Visual localization allows autonomous robots to relocalize when losing track of their pose by matching their current observation with past ones.
Dense FixMatch: a simple semi-supervised learning method for pixel-wise prediction tasks
We propose Dense FixMatch, a simple method for online semi-supervised learning of dense and structured prediction tasks combining pseudo-labeling and consistency regularization via strong data augmentation.
An analysis of over-sampling labeled data in semi-supervised learning with FixMatch
Most semi-supervised learning methods over-sample labeled data when constructing training mini-batches.
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
GANtruth - an unpaired image-to-image translation method for driving scenarios
In this work, we propose a novel method for constraining the output space of unpaired image-to-image translation.
Feature Descriptors for Tracking by Detection: a Benchmark
In this paper, we provide an extensive evaluation of the performance of local descriptors for tracking applications.
