1 code implementation • 29 Apr 2022 • Jinwoo Jeon, Hyunjun Lim, Dong-Uk Seo, Hyun Myung
To solve this sparsity problem, depth completion tasks that estimate a dense depth from a sparse depth have gained significant importance in robotic applications like exploration.
Ranked #1 on Depth Completion on VOID-150
1 code implementation • NeurIPS 2021 • Jinwoo Jeon, Jaechang Kim, Kangwook Lee, Sewoong Oh, Jungseul Ok
Federated Learning (FL) is a distributed learning framework, in which the local data never leaves clients devices to preserve privacy, and the server trains models on the data via accessing only the gradients of those local data.