Vision-based semantic segmentation in scene understanding for autonomous driving: Recent achievements, challenges, and outlooks
Scene understanding plays a crucial role in autonomous driving by utilizing sensory data for
contextual information extraction and decision making. Beyond modeling advances, the …
contextual information extraction and decision making. Beyond modeling advances, the …
Monocular 3D lane detection for Autonomous Driving: Recent Achievements, Challenges, and Outlooks
3D lane detection plays a crucial role in autonomous driving by extracting structural and
traffic information from the road in 3D space to assist the self-driving car in rational, safe, and …
traffic information from the road in 3D space to assist the self-driving car in rational, safe, and …
Deep learning based active learning technique for data annotation and improve the overall performance of classification models
Deep learning (DL) models achieved a lot of success due to the availability of labeled
training data. In contrast, labeling a huge amount of data by a human is a time-consuming …
training data. In contrast, labeling a huge amount of data by a human is a time-consuming …
[PDF][PDF] 基于主动学习的图像分类技术: 现状与未来
刘颖， 庞羽良， 张伟东， 李大湘， 许志杰 - 电子学报, 2023 - ejournal.org.cn
图像分类作为计算机视觉领域中的重要研究方向之一, 应用领域非常广泛. 基于深度学习的图像
分类技术取得的成功, 依赖大量的已标注数据, 然而数据的标注成本往往是昂贵的 …
分类技术取得的成功, 依赖大量的已标注数据, 然而数据的标注成本往往是昂贵的 …
Tracking and handling behavioral biases in active learning frameworks
D Agarwal, B Natarajan - Information Sciences, 2023 - Elsevier
The computational capabilities of AI engines integrated with human knowledge and
experience can help create intelligent human-in-the-loop (HITL) decision systems. Such …
experience can help create intelligent human-in-the-loop (HITL) decision systems. Such …