5 citations · 9 across the 2 of their papers we have counts for
2 papers
cs.CV2023★ 4 cited
The RoboDepth Challenge: Methods and Advancements Towards Robust Depth Estimation
Lingdong Kong, Yaru Niu, Shaoyuan Xie +39
Accurate depth estimation under out-of-distribution (OoD) scenarios, such as adverse weather conditions, sensor failure, and noise contamination, is desirable for safety-critical a…
cs.LG2023★ 5 cited
Federated Generative Learning with Foundation Models
Jie Zhang, Xiaohua Qi, Bo Zhao
Existing approaches in Federated Learning (FL) mainly focus on sending model parameters or gradients from clients to a server. However, these methods are plagued by significant ine…