MultiResEdge: A deep learning-based edge detection approach

Article Properties
Cite
Muntarina, Kanija, et al. “MultiResEdge: A Deep Learning-Based Edge Detection Approach”. Intelligent Systems With Applications, vol. 20, 2023, p. 200274, https://doi.org/10.1016/j.iswa.2023.200274.
Muntarina, K., Mostafiz, R., Khanom, F., Shorif, S. B., & Uddin, M. S. (2023). MultiResEdge: A deep learning-based edge detection approach. Intelligent Systems With Applications, 20, 200274. https://doi.org/10.1016/j.iswa.2023.200274
Muntarina, Kanija, Rafid Mostafiz, Fahmida Khanom, Sumaita Binte Shorif, and Mohammad Shorif Uddin. “MultiResEdge: A Deep Learning-Based Edge Detection Approach”. Intelligent Systems With Applications 20 (2023): 200274. https://doi.org/10.1016/j.iswa.2023.200274.
Muntarina K, Mostafiz R, Khanom F, Shorif SB, Uddin MS. MultiResEdge: A deep learning-based edge detection approach. Intelligent Systems with Applications. 2023;20:200274.
Refrences
Title Journal Journal Categories Citations Publication Date
Semantic Edge Detection with Diverse Deep Supervision International Journal of Computer Vision
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 29 2022
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  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
 9 2022
An Autonomous Technique for Multi Class Weld Imperfections Detection and Classification by Support Vector Machine Journal of Nondestructive Evaluation
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Materials of engineering and construction. Mechanics of materials
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  • Technology: Electrical engineering. Electronics. Nuclear engineering: Materials of engineering and construction. Mechanics of materials
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Seeing the vibration: Visual-based detection of low frequency vibration environment pollution 2021
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Citations
Title Journal Journal Categories Citations Publication Date
ViT-DexiNet: a vision transformer-based edge detection operator for small object detection in SAR images International Journal of Remote Sensing
  • Geography. Anthropology. Recreation: Geography (General)
  • Technology: Photography
  • Science: Geology
  • Science: Geology
 1 2023
Citations Analysis
Category Category Repetition
Geography. Anthropology. Recreation: Geography (General)1
Technology: Photography1
Science: Geology1
The category Geography. Anthropology. Recreation: Geography (General) 1 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled ViT-DexiNet: a vision transformer-based edge detection operator for small object detection in SAR images and was published in 2023. The most recent citation comes from a 2023 study titled ViT-DexiNet: a vision transformer-based edge detection operator for small object detection in SAR images. This article reached its peak citation in 2023, with 1 citations. It has been cited in 1 different journals. Among related journals, the International Journal of Remote Sensing cited this research the most, with 1 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year