MARATTO

article

An Overview Comparison between Convolutional Neural Networks and Vision Transformers

20242 citationsOpen accessIbn Tofail University

Abstract

Deep learning is having a particularly revolutionary effect in the field of artificial intelligence, namely in computer vision, where machines are equipped with the capacity to comprehend and evaluate visual information. Throughout history, convolutional neural networks, or CNNs, have been essential for image processing applications because of their superior hierarchical feature extraction capabilities.

Research topics

  • Currency Recognition and Detection
  • Advanced Neural Network Applications
  • Industrial Vision Systems and Defect Detection

Read the original research

This page summarises published work. The authoritative version sits with the publisher.

DOI: 10.1145/3659677.3659719

Is something wrong with this record? Report it or request removal.

Discussion

Discuss this research

Have you built on this work, tried to replicate it, or seen it applied in practice? Share what you know. Verified researchers and MARATTO™ domain experts can open a discussion, and any member can reply. Contributions are reviewed before they appear.

No discussion yet. Open the first thread.