Results 1 to 10 of about 611,264 (86)
HINet: Half Instance Normalization Network for Image Restoration [PDF]
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2021 In this paper, we explore the role of Instance Normalization in low-level vision tasks. Specifically, we present a novel block: Half Instance Normalization Block (HIN Block), to boost the performance of image restoration networks.
Liangyu Chen +4 more
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Mitigating Neural Network Overconfidence with Logit Normalization [PDF]
International Conference on Machine Learning, 2022 Detecting out-of-distribution inputs is critical for safe deployment of machine learning models in the real world. However, neural networks are known to suffer from the overconfidence issue, where they produce abnormally high confidence for both in- and ...
Hongxin Wei +5 more
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Arbitrary Style Transfer in Real-Time with Adaptive Instance Normalization [PDF]
IEEE International Conference on Computer Vision, 2017 Gatys et al. recently introduced a neural algorithm that renders a content image in the style of another image, achieving so-called style transfer.
Xun Huang, Serge J. Belongie
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Semantic Image Synthesis With Spatially-Adaptive Normalization [PDF]
Computer Vision and Pattern Recognition, 2019 We propose spatially-adaptive normalization, a simple but effective layer for synthesizing photorealistic images given an input semantic layout. Previous methods directly feed the semantic layout as input to the network, forcing the network to memorize ...
Taesung Park +3 more
semanticscholar +1 more source
Style Normalization and Restitution for Generalizable Person Re-Identification [PDF]
Computer Vision and Pattern Recognition, 2020 Existing fully-supervised person re-identification (ReID) methods usually suffer from poor generalization capability caused by domain gaps. The key to solving this problem lies in filtering out identity-irrelevant interference and learning domain ...
Xin Jin +4 more
semanticscholar +1 more source
Rank-Normalization, Folding, and Localization: An Improved Rˆ for Assessing Convergence of MCMC (with Discussion) [PDF]
Bayesian Analysis, 2019 Markov chain Monte Carlo is a key computational tool in Bayesian statistics, but it can be challenging to monitor the convergence of an iterative stochastic algorithm.
Aki Vehtari +4 more
semanticscholar +1 more source
Genome Biology, 2002 BackgroundGene-expression analysis is increasingly important in biological research, with real-time reverse transcription PCR (RT-PCR) becoming the method of choice for high-throughput and accurate expression profiling of selected genes.
J. Vandesompele +6 more
semanticscholar +1 more source
Molecular & Cellular Proteomics, 2014 Protein quantification without isotopic labels has been a long-standing interest in the proteomics field. However, accurate and robust proteome-wide quantification with label-free approaches remains a challenge. We developed a new intensity determination
J. Cox +5 more
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Genome Biology, 2019 Single-cell RNA-seq (scRNA-seq) data exhibits significant cell-to-cell variation due to technical factors, including the number of molecules detected in each cell, which can confound biological heterogeneity with technical effects.
Christoph Hafemeister, R. Satija
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Cancer Research, 2004 Accurate normalization is an absolute prerequisite for correct measurement of gene expression. For quantitative real-time reverse transcription-PCR (RT-PCR), the most commonly used normalization strategy involves standardization to a single ...
C. Andersen, J. L. Jensen, T. Ørntoft
semanticscholar +1 more source