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LR-Net: A Block-based Convolutional Neural Network for Low-Resolution Image Classification. (arXiv:2207.09531v3 [cs.CV] UPDATED)
Aug. 12, 2022, 1:12 a.m. | Ashkan Ganj, Mohsen Ebadpour, Mahdi Darvish, Hamid Bahador
cs.CV updates on arXiv.org arxiv.org
The success of CNN-based architecture on image classification in learning and
extracting features made them so popular these days, but the task of image
classification becomes more challenging when we apply state of art models to
classify noisy and low-quality images. It is still difficult for models to
extract meaningful features from this type of image due to its low-resolution
and the lack of meaningful global features. Moreover, high-resolution images
need more layers to train which means they take more …
arxiv classification convolutional neural network cv image network neural network
More from arxiv.org / cs.CV updates on arXiv.org
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