What are the various computer vision models?
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Computer vision models discussed in the abstracts include Convolutional Neural Networks (CNNs) , adaptive Gaussian thresholding and mixture modeling , and YOLO models (YOLOv4, YOLOv4-tiny, and YOLOv5s) . Additionally, the abstracts mention the use of machine learning models and PaaS solutions, such as Azure Cognitive Services, for computer vision applications . The abstracts also touch on the use of projective geometry and algebraic geometry in mathematical models for computer vision .
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| Papers (5) | Insight |
|---|---|
Open access•Dissertation 10 Jul 2018 4 Citations | The paper discusses mathematical models for describing the geometry of imaging processes in computer vision, including models for cameras, shapes, and contours. |
| The paper does not explicitly mention the various computer vision models. | |
22 Citations | The paper discusses the application of three computer vision models for pothole detection: YOLOv4, YOLOv4-tiny, and YOLOv5s. |
01 Jan 2020 | The paper discusses several computer vision algorithms, including adaptive Gaussian thresholding, mixture modeling, cross correlation template matching, Viola Jones model, Gaussian mixture modeling, histogram of oriented gradients, and support vector machines. |
| The paper does not explicitly mention the various computer vision models. The paper focuses on developing a computer vision system using CNNs and Log-Gabor filters for medicinal plant identification. |
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