WeatherDepth: Curriculum Contrastive Learning for Self-Supervised Depth Estimation under Adverse Weather Conditions

1 code implementation • 9 Oct 2023 • Jiyuan Wang, Chunyu Lin, Lang Nie, Shujun Huang, Yao Zhao, Xing Pan, Rui Ai

In this paper, we propose WeatherDepth, a self-supervised robust depth estimation model with curriculum contrastive learning, to tackle performance degradation in complex weather conditions.

Contrastive Learning Depth Estimation +2

DTF: Deep Tensor Factorization for Predicting Anticancer Drug Synergy

1 code implementation • 23 Nov 2019 • Zexuan Sun, Shujun Huang, Peiran Jiang, Pingzhao Hu

A further look at the predictive performance of the DTF on the basis of individual cell lines found that the DTF showed an AUC greater than 0. 90 for the majority of the cell lines.