A systematic review and evaluation of synthetic simulated data generation strategies for deep learning applications in construction
The integration of deep learning (DL) into construction applications holds substantial
potential for enhancing construction automation and intelligence. However, successful …
potential for enhancing construction automation and intelligence. However, successful …
Machine learning based analysis of finnish world war ii photographers
K Chumachenko, A Männistö, A Iosifidis… - IEEE …, 2020 - ieeexplore.ieee.org
In this paper, we demonstrate the benefits of using state-of-the-art machine learning
methods in the analysis of historical photo archives. Specifically, we analyze prominent …
methods in the analysis of historical photo archives. Specifically, we analyze prominent …
Research on the Application of Improved SSD Algorithm in the Intelligent Recognition Model of Anime Characters
M Xiao - 2023 7th Asian Conference on Artificial Intelligence …, 2023 - ieeexplore.ieee.org
In order to apply object detection techniques with better detection performance to anime
character detection, an improved Single Shot MulmtiBox Detector (SSD) algorithm is …
character detection, an improved Single Shot MulmtiBox Detector (SSD) algorithm is …
Target Detection Method Based on Unsupervised Domain Adaptation for Through-the-Wall Radar Imaging
Y Chen, Y Jia - 2023 6th International Conference on …, 2023 - ieeexplore.ieee.org
Due to the ability of automatic learning and extraction, deep learning is widely used in robust
target detection for through-the-wall radar (TWR). However, most of the existing target …
target detection for through-the-wall radar (TWR). However, most of the existing target …