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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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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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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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Normal ordering normal modes [PDF]
The European Physical Journal C, 2021 AbstractIn a soliton sector of a quantum field theory, it is often convenient to expand the quantum fields in terms of normal modes. Normal mode creation and annihilation operators can be normal ordered, and their normal ordered products have vanishing expectation values in the one-loop soliton ground state.
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VITON-HD: High-Resolution Virtual Try-On via Misalignment-Aware Normalization [PDF]
Computer Vision and Pattern Recognition, 2021 The task of image-based virtual try-on aims to transfer a target clothing item onto the corresponding region of a person, which is commonly tackled by fitting the item to the desired body part and fusing the warped item with the person.
Seunghwan Choi +3 more
semanticscholar +1 more source
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
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Normal, Abby Normal, Prefix Normal [PDF]
, 2014 A prefix normal word is a binary word with the property that no substring has more 1s than the prefix of the same length. This class of words is important in the context of binary jumbled pattern matching. In this paper we present results about the number $pnw(n)$ of prefix normal words of length $n$, showing that $pnw(n) = \left(2^{n - c\sqrt{n\ln n}}
Burcsi, P +4 more
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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
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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
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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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