This book gathers selected high-impact articles from the 2nd International Conference on Data Science, Machine Learning & Applications 2020.
The goal of this review is to provide an overview of the diverse concepts and ideas on the way towards more general techniques than traditional photometric stereophonic.
... Metrics We evaluate the performance of our approach in monocular depth prediction using the velodyne ground truth ... estimation. It can be observed that our method achieves best performances for all evaluation metrics at both 80m ...
... metrics Kendall's τ and WHDR. Table 4 shows the effectiveness of the two-phase training scheme of the proposed algorithm. The proposed algorithm ... Depth Map Decomposition for Monocular Depth Estimation 31 4.6 Analysis 5 Conclusions.
... metrics . Keywords : Monocular Depth Estimation · Unmanned Aerial Vehicles Detect - And - Avoid · Object - level · Amazon Airborne Object Tracking Dataset · Long Range Detection 1 ... Monocular Depth Estimation for UAVs 1 Introduction.
This book focuses on challenging issues in the field of AI-based image and video processing and recognition, including the topics of AI-based image processing, understanding, recognition, compression, and reconstruction; AI-based video ...
... depth map also has temporal consistency when output , we use the trained flow estimation network , FlowNet [ 4 ] ... monocular depth maps . All loss functions are combined as : 4 Lfinal = λdLd + λgLgrad + XƒLƒ where Ad , Ag , Aƒ are ...
... monocular depth estimation techniques over the KITTI dataset using the data split in [45]. S* denotes the synthetic data captured from a graphically rendered virtual environment Method Training data Error metrics (lower, better) Accuracy ...
... Metrics : The performance is assessed using the standard met- rics provided for each dataset . That is , for NYU - Depth ... monocular depth estimation methods . NYU - Depth - v2 : Table 1 contains the performance metrics on the official ...
... depth map prediction and 3D retinal vessel reconstruction. 3.1 Datasets and Evaluation Metrics Datasets: Two OCTA ... monocular image depth estimation, were also used in this work. For the target domain, Chamfer Distance (CD) [20] ...