Upload Records Snowball Search Search OpenAlex
About the database ScholarIQanswers from OpenAlex
Advanced Neural Network Applications
TopicLeading institutions, researchers & key papers
This cluster of papers focuses on the application of deep learning, particularly convolutional neural networks, in computer vision tasks such as image recognition, object detection, and semantic segmentation. It covers various neural network architectures, model compression techniques, and their applications in fields like autonomous driving.
379
Works
IDs:OpenAlex
How has Advanced Neural Network Applications's publication output changed over time?
ScholarIQpublication output · 2013–2024
Output grew0% over the shown period — from 1 works in 2013 to 1 in 2024.
1
1
2
4
1
1
2
2
1
201320152017201820192020202120222024
What are the most-cited papers on Advanced Neural Network Applications?
ScholarIQmost cited works
3D Object Representations for Fine-Grained Categorization
Jonathan Krause, Michael Stark, Jia Deng, Li Fei-Fei
20133,486 Citations
CNN Variants for Computer Vision: History, Architecture, Application, Challenges and Future Scope
Dulari Bhatt, Chirag Patel, Hardik Talsania, Jigar Patel, Rasmika Vaghela, Sharnil Pandya, Kirit Modi, Hemant Ghayvat
Electronics. 2021871 CitationsOPEN ACCESS
SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers
Enze Xie, Wenhai Wang, Zhiding Yu, Anima Anandkumar, Jose M. Álvarez, Ping Luo
S4306402161. 2021848 CitationsOPEN ACCESS
An Analysis Of Convolutional Neural Networks For Image Classification
Neha Sharma, Vibhor Jain, Anju Mishra
Procedia Computer Science. 2018704 CitationsOPEN ACCESS
Performance Analysis of Google Colaboratory as a Tool for Accelerating Deep Learning Applications
Tiago Carneiro, Raul Victor M. da Nóbrega, Thiago Nepomuceno, Gui‐Bin Bian, Victor Hugo C. de Albuquerque, Pedro P. Rebouças Filho
IEEE Access. 2018597 CitationsOPEN ACCESS
Where is Advanced Neural Network Applications research published, and who funds it?
ScholarIQvenues & funding sources
TOP JOURNALS
TOP FUNDERS
National Science Foundation—
NIH—
Wellcome Trust—
European Research Council—
Funder breakdown is a member featureSign up free to unlock
How much of the research on Advanced Neural Network Applications is open access?
ScholarIQopen access share
53%OPEN ACCESS
Gold
27%
Green
20%
Hybrid
7%
Bronze
0%
Closed
47%
Related on ScholarIQ
ImageNet Large Scale Visual Recognition Challenge
Paper
3D Object Representations for Fine-Grained Categorization
Paper
SegFormer: Simple and Efficient Design for Semantic Segmentation with\n Transformers
Paper
CNN Variants for Computer Vision: History, Architecture, Application, Challenges and Future Scope
Paper
Autonomous vehicle perception: The technology of today and tomorrow
Paper
SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers
Paper