A bibliometric analysis on deep learning during 2007–2019
As an emerging and applicable method, deep learning (DL) has attracted much attention in
recent years. With the development of DL and the massive of publications and researches in …
recent years. With the development of DL and the massive of publications and researches in …
Symbol spotting on digital architectural floor plans using a deep learning-based framework
This papers focuses on symbol spotting on real-world digital architectural floor plans with a
deep learning (DL)-based framework. Traditional on-the-fly symbol spotting methods are …
deep learning (DL)-based framework. Traditional on-the-fly symbol spotting methods are …
Automatic detection and classification of symbols in engineering drawings
S Sarkar, P Pandey, S Kar - arxiv preprint arxiv:2204.13277, 2022 - arxiv.org
A method of finding and classifying various components and objects in a design diagram,
drawing, or planning layout is proposed. The method automatically finds the objects present …
drawing, or planning layout is proposed. The method automatically finds the objects present …
Symbol Detection in Mechanical Engineering Sketches: Experimental Study on Principle Sketches with Synthetic Data Generation and Deep Learning.
S Bickel, S Goetz, S Wartzack - Applied Sciences (2076 …, 2024 - search.ebscohost.com
Digital transformation is omnipresent in our daily lives and its impact is noticeable through
new technologies, like smart devices, AI-Chatbots or the changing work environment. This …
new technologies, like smart devices, AI-Chatbots or the changing work environment. This …
Multi scale mirror connection based encoder decoder network for text localization
Encoder decoder models with multi-scale feature concatenations have become ubiquitous
for various natural scene segmentation tasks. In the current approach, a similar model with …
for various natural scene segmentation tasks. In the current approach, a similar model with …
Geometry-based symbol spotting in born-digital architectural floor plans
We describe a method for symbol spotting in born-digital architectural floor plans, which are
a particularly challenging application domain of graphics recognition. We propose a hybrid …
a particularly challenging application domain of graphics recognition. We propose a hybrid …
Analyzing symbols in architectural floor plans via traditional computer vision and deep learning approaches
A Rezvanifar - 2021 - dspace.library.uvic.ca
Architectural floor plans are scale-accurate 2D drawings of one level of a building, seen from
above, which convey structural and semantic information related to rooms, walls, symbols …
above, which convey structural and semantic information related to rooms, walls, symbols …
[CITATION][C] DERİN ÖĞRENME TABANLI YAPI ELEKTRİK PLAN ÇİZİMİ
B AKGÜL - 2022