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Found 4 papers, 4 papers with code
Towards Long Term SLAM on Thermal Imagery
Visual SLAM with thermal imagery, and other low contrast visually degraded environments such as underwater, or in areas dominated by snow and ice, remain a difficult problem for many state of the art (SOTA) algorithms.
A Strong Baseline for Point Cloud Registration via Direct Superpoints Matching
Previous dominant point cloud registration approaches match these feature representations as the first step, e. g., using the Sinkhorn algorithm.
Bayesian Decision Making to Localize Visual Queries in 2D
The results are then combined together with the similarity in lower dimensions from the Siamese Head, acting as our measurement, to generate a posterior which is then used to determine the final similarity of the visual crop with the proposed bounding box.
VacSIM: Learning Effective Strategies for COVID-19 Vaccine Distribution using Reinforcement Learning
We approach this problem by proposing a novel pipeline VacSIM that dovetails Deep Reinforcement Learning models into a Contextual Bandits approach for optimizing the distribution of COVID-19 vaccine.
