Group Normalization | SpringerLink
link.springer.com › article › 10Jul 22, 2019 · This paper presents Group Normalization (GN) as a simple alternative to BN. We notice that many classical features like SIFT (Lowe 2004) and HOG (Dalal and Triggs 2005) are group-wise features and involve group-wise normalization. For example, a HOG vector is the outcome of several spatial cells where each cell is represented by a normalized ...
GroupNormalization
https://openaccess.thecvf.com/content_ECCV_2018/papers/Yuxin_Wu…3 Group Normalization The channels of visual representations are not entirely independent. Classical features of SIFT [14], HOG [15], and GIST [41] are group-wise representations by design, where each group of channels is constructed by some kind of his-togram. These features are often processed by group-wise normalization over
Group Normalization Explained | Papers With Code
paperswithcode.com › method › group-normalizationGroup Normalization is a normalization layer that divides channels into groups and normalizes the features within each group. GN does not exploit the batch dimension, and its computation is independent of batch sizes. In the case where the group size is 1, it is equivalent to Instance Normalization. As motivation for the method, many classical features like SIFT and HOG had group-wise features ...
GroupNormalization
openaccess.thecvf.com › content_ECCV_2018 › papersThis paper presents Group Normalization (GN) as a simple alternative to BN. We notice that many classical features like SIFT [14] and HOG [15] are group-wise features and involve group-wise normalization. For example, a HOG vector is the outcome of several spatial cells where each cell is represented by a normalized orientation histogram.
[1803.08494] Group Normalization - arxiv.org
https://arxiv.org/abs/1803.0849422.03.2018 · In this paper, we present Group Normalization (GN) as a simple alternative to BN. GN divides the channels into groups and computes within each group the mean and variance for normalization. GN's computation is independent of batch sizes, and its accuracy is stable in a wide range of batch sizes.
[1803.08494] Group Normalization - arxiv.org
arxiv.org › abs › 1803Mar 22, 2018 · In this paper, we present Group Normalization (GN) as a simple alternative to BN. GN divides the channels into groups and computes within each group the mean and variance for normalization. GN's computation is independent of batch sizes, and its accuracy is stable in a wide range of batch sizes.