ImageNet Validation Set Compressed by the DAC Algortihm
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https://zenodo.org/doi/10.5281/zenodo.20483150
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资源简介：
This repository contains the results of the compression of ImageNet validation set (50,000 images, 1,000 classes) by Discrete Atomic Compression (DAC) with the quality loss settings UBMAD = 155
References
Discrete Atomic Compression: Makarichev, V.; Vasilyeva, I.; Lukin, V.; Vozel, B.; Shelestov, A.; Kussul, N. Discrete Atomic Transform-Based Lossy Compression of Three-Channel Remote Sensing Images with Quality Control. Remote Sens. 2022, 14, 125. DOI: https://doi.org/10.3390/rs14010125.
ImageNet: Russakovsky, O.; Deng, J.; Su, H.; Krause, J.; Satheesh, S.; Ma, S.; Huang, Z.; Karpathy, A.; Khosla, A.; Bernstein, M.; Berg, A.C.; Fei-Fei, L. ImageNet Large Scale Visual Recognition Challenge. Int. J. Comput. Vis. 2015, 115, pp. 211--252. DOI: https://doi.org/10.1007/s11263-015-0816-y.
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Zenodo创建时间：
2026-06-01
