Additionally, most machine-learning models focus on asphalt layers and do not extend to deeper pavement layers. Therefore, this study provides deep-learning models using weather parameters to predict pavement temperature from surface to sublayers and estimate pavement freezing depth for...
2 - deep learning在计算机视觉各个子领域的应用 Depth Estimation, Normal Estimation(深度、法向量 估计) depth和normal estimation问题,如果在有 stereo image pair 的情况下并不困难。但是否能从单张影像估计出 depth 或者 normal 呢?在有大量的 training data 和一些 constraints 下(比如vanishing points, orthogona...
Using asymmetric datasets with uneven numbers of annotations Contribution Propose a new model based on the existing model Figure 3: General network structure for joint semantic segmentation and depth estimation. Each task has only 2 specific parametric layers, while everything is shared [1]. 为了获得...
Recently, a large body of deep learning methods have been proposed and has shown great promise in handling the traditional ill-posed problem. This paper aims to review the state-of-the-art development in deep learning-based monocular depth estimation. We give an overview of published papers ...
《Towards Real-Time Monocular Depth Estimation for Robotics: A Survey》 Q & A Q1:深度估计任务类似于语义分割吗? A1:深度估计可以和语义分割联合训练,共享同一架构和特征。在任务上是具有通用性的。 Q2:模型训练的label就是对应的深度图吗?网络预测值是什么?
While recent deep monocular depth estimation approaches based on supervised regression have achieved remarkable performance, costly ground truth annotations are required during training. To cope with this issue, in this paper we present a novel unsupervised deep learning approach for predicting depth maps...
deep-learningtransformersneural-networkspretrained-modelsdepth-estimationmonocular-depth-estimationzero-shot-transfermetric-depth-estimationadaptive-bins UpdatedMay 3, 2024 Jupyter Notebook Official implementation of Adabins: Depth Estimation using adaptive bins ...
Efficient Unsupervised Monocular Depth Estimation with Inter-Frame Depth Interpolation To alleviate the need of expensive depth annotations, some existing works resort to unsupervised learning methods for depth estimation using monocular videos. To improve the accuracy of the prediction with the relationship...
In retrospect of what has been achieved so far, we also conjecture what the future may hold for deep learning-based stereo for depth estimation research.从RGB图像估算深度是一个长期存在的不适定问题,计算机视觉、图形学和机器学习领域已经对这个问题进行了数十年的研究。在现有的技术中,立体匹配仍然是...
本文介绍我们中稿今年ECCV的一项工作:Towards Scale-Aware, Robust, and Generalizable Unsupervised Monocular Depth Estimation by Integrating IMU Motion Dynamics。 基于深度学习的自监督单目深度估计神经网络近年已在主流数据集上取得了非常好的结果。但仅使用单目相机图像无法获得深度估计值的绝对尺度,从而限制了单目深度...