research
∙
03/04/2022
Rethinking Efficient Lane Detection via Curve Modeling
This paper presents a novel parametric curve-based method for lane detec...
share
research
∙
06/18/2021
Novelty Detection via Contrastive Learning with Negative Data Augmentation
Novelty detection is the process of determining whether a query example ...
research
∙
04/19/2020
Uncertainty-Aware Consistency Regularization for Cross-Domain Semantic Segmentation
Unsupervised domain adaptation (UDA) aims to adapt existing models of th...
research
∙
04/18/2020
Semi-Supervised Semantic Segmentation via Dynamic Self-Training and Class-Balanced Curriculum
In this work, we propose a novel and concise approach for semi-supervise...
research
∙
03/15/2020
Night-time Semantic Segmentation with a Large Real Dataset
Although huge progress has been made on semantic segmentation in recent ...
research
∙
03/26/2019
