标题: Probabilistic and Geometric Depth: Detecting Objects in Perspective 作者:Tai Wang, Xinge Zhu, Jiangmiao Pang, Dahua Lin 机构:CUHK-SenseTime Joint Lab, Shanghai AI Laboratory, Centre of Perceptual and Interactive Intelligence 来源:CoRL 2021 三维目标检测对很多实际场景都是必需的,如自动驾驶辅助系...
DP就是概率深度(Probabilistic Depth).取Top-2置信度的均值作为深度置信度得分深度置信度得分(Depth Confidence Score).在推理时,深度置信度得分与中心度得分、分类得分相乘,作为最终的排序指标使用.使用下面的式子将DR和DP融合: σ(⋅)是 sigmoid 函数,λ是一个与数据无关的学习参数.DL是每个孤立的实例的局部深度...
We develop probabilistic algorithms that solve problems of geometric elimination theory using small memory resources. These algorithms are obtained by means of the adaptation of a general transformation due to A. Borodin which converts uniform boolean circuit depth into sequential (Turing machine) space...
Thus, interpolators such as Universal Kriging and IDW are commonly used to predict depth in unsampled locations. In this sense, this work aimed to evaluate different interpolators, such as Machine Learning (ML), IDW, and Fixed Rank Kriging (FRK), in the creation of Digital Depth Models (...
Self-supervised multi-frame monocular depth estimation relies on the geometric consistency between successive frames under the assumption of a static scene. However, the presence of moving objects in dynamic scenes introduces inevitable inconsistencies, causing misaligned multi-frame feature matching and misl...
l is a unit vector of Mrows and one column. ρmρmis the correlation function of JRC 2Dand mrefers to the distance between ith and jth point along the depth of the discontinuity. R is the correlation function matrix. In the geotechnical engineering, four correlation functions are widely...
DeepFactors is a Dense Monocular SLAM system that takes in a stream of RGB images from a single camera and produces a dense geometric reconstruction in the form of a keyframe map. You can see the system in action in this YouTube video. The key features of this work include: Joint, inte...
After α-cut treatment, Ẽri and R̃Iare the interval value, and the soil heavy metal ecological risk level is determined by the membership function calculation:(9)E(l)=|[E1,E2]∩[E1*,E2*]||[E1,E2]|Where:|| is geometric length of the interval; ∩ is intersection of two ...
This model is highly refined and is applicable when comprehensive information on the activity rate, maximum expected magnitude, and focal mechanisms of the fault is available. However, in reality, few faults are well mapped, and even fewer have reliable slip rates and geometric information. To ...
[246] provides in-depth information. 3.4. Future research projects opportunities In addition to the statistical analyses presented in this literature review, the authors propose research topics that could advance the field and present new challenges by leveraging probabilistic hygrothermal analysis in ...