Search Results for author:
Found 3 papers, 2 papers with code
Hyperbolic Contrastive Learning
Learning good image representations that are beneficial to downstream tasks is a challenging task in computer vision.
Hyperbolic Chamfer Distance for Point Cloud Completion
Chamfer distance (CD) is a standard metric to measure the shape dissimilarity between point clouds in point cloud completion, as well as a loss function for (deep) learning.
Optimizing scoring function of dynamic programming of pairwise profile alignment using derivative free neural network
Nepal, the pairwise profile aligner with the novel scoring function significantly improved both alignment sensitivity and precision, compared to aligners with the existing functions.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
