Object detection using convolutional neural networks and transformer-based models: a review

Object detection using convolutional neural networks and transformer-based models: a review

Abstract Transformer models are evolving rapidly in standard natural language processing tasks; however, their application is drastically proliferating in computer vision (CV) as well. Transformers are either replacing convolution networks or being used in conjunction with them. This paper aims to d...

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Bibliographic Details
Main Authors: Shrishti Shah, Jitendra Tembhurne
Format: Article
Language:English
Published: SpringerOpen 2023-11-01
Series:Journal of Electrical Systems and Information Technology
Subjects:
Convolutional neural network
Object detection
Transformer-based attention
Faster R-CNN
Semantic segmentation
Segmenter
Online Access:https://doi.org/10.1186/s43067-023-00123-z

Internet

https://doi.org/10.1186/s43067-023-00123-z

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