Using the method of knowledge distillation, the teacher net- work uses a pretrained heavy-duty neural network to directly infer an image without a large amount ...
Jan 19, 2022 · This paper proposes an unsupervised low-quality barcode image reconstruction method based on knowledge distillation by combining traditional image processing ...
Super-resolution convolutional neural network compression method based on knowledge distillation[J]. Journal of Computer Ap-plications, 2019, v.39; · A Fergus R ...
Unsupervised Barcode Image Reconstruction Based on Knowledge Distillation. X ... A novel image stitching method based on an unsupervised deep learning ...
A novel unsupervised learning framework that utilizes the results produced by self-supervised learning to guide knowledge distillation.
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Abstract—Multi-modal brain images from MRI scans are widely used in clinical diagnosis to provide complementary infor- mation from different modalities.
KD-MRI: A knowledge distillation framework for image reconstruction and image restoration in MRI workflow. Balamurali Murugesan, Sricharan Vijayarangan, ...
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2021. TLDR. An unsupervised low-quality barcode image reconstruction method based on knowledge distillation by combining traditional image processing and deep ...
Aug 26, 2024 · Unsupervised Barcode Image Reconstruction Based on Knowledge Distillation. November 2021. Xinglong Cui · Ting Sun · Shuixin deng ...
Mar 10, 2024 · Unsupervised semantic hashing has emerged as an indispensable technique for fast image search, which aims to convert images into binary hash ...
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