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 Tagged: Work by Christian Szegedy

Going Deeper with Convolutions by Christian Szegedy and others 2026-11-05
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By Christian Szegedy.
www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Szegedy_Going_Deeper_With_2015_CVPR_paper.pdf
CVPR2015 original paper; first-page byline and abstract, section4 and Figure2 define parallel Inception branches, pooling and dimension-reducing 1x1 convolutions before larger kernels. Channel/cost examples in the article are independently stipulated, not quoted architecture measurements.
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Rethinking the Inception Architecture for Computer Vision by Christian Szegedy and others 2026-11-05
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www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Szegedy_Rethinking_the_Inception_CVPR_2016_paper.pdf
CVPR 2016; arXiv arxiv.org/abs/1512.00567 (2015 preprint). Section 7, Model Regularization via Label Smoothing: mixture target, uniform distribution and logit gradient.
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Total articles: 2
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