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Convolutional neural networks (CNNs) are widely used today in various vision tasks such as classification, detection and segmentation. To make full use of GPU in CNN model processing and to use batch normalization, images of various resolutions are usually resized to the same resolution in the pipeline with mostly used bilinear interpolation.
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High Efficient Energy Compaction Network for Image Transform
AuthorJongSeok Lee, Sunyoung Jeon, Kwang Pyo Choi, Youngo Park, JaeHwan Kim, JeongHoon Park
PublishedSPIE Optical Engineering + Applications (SPIE)
Date2018-08-22
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