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Found 4 papers, 1 papers with code
Surround-View Fisheye Optics in Computer Vision and Simulation: Survey and Challenges
Overall, this paper highlights the optical aberrations in automotive fisheye datasets, and the limitations of optical reality in simulated fisheye datasets, with a focus on computer vision in surround-view optical systems.
Measuring Natural Scenes SFR of Automotive Fisheye Cameras
The Modulation Transfer Function (MTF) is an important image quality metric typically used in the automotive domain.
Connecting the Dots: Graph Neural Network Powered Ensemble and Classification of Medical Images
Deep learning models have demonstrated remarkable results for various computer vision tasks, including the realm of medical imaging.
Compact & Capable: Harnessing Graph Neural Networks and Edge Convolution for Medical Image Classification
In this study, we investigate the potential of Graph Neural Networks (GNNs) for medical image classification.
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