S
Saining Xie
Researcher at Facebook
Publications - 59
Citations - 30834
Saining Xie is an academic researcher from Facebook. The author has contributed to research in topics: Feature learning & Convolutional neural network. The author has an hindex of 29, co-authored 50 publications receiving 15403 citations. Previous affiliations of Saining Xie include University of California, San Diego & Adobe Systems.
Papers
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Proceedings ArticleDOI
Aggregated Residual Transformations for Deep Neural Networks
TL;DR: ResNeXt as discussed by the authors is a simple, highly modularized network architecture for image classification, which is constructed by repeating a building block that aggregates a set of transformations with the same topology.
Posted Content
Momentum Contrast for Unsupervised Visual Representation Learning
TL;DR: This article proposed Momentum Contrast (MoCo) for unsupervised visual representation learning, which enables building a large and consistent dictionary on-the-fly that facilitates contrastive learning.
Proceedings ArticleDOI
Momentum Contrast for Unsupervised Visual Representation Learning
TL;DR: This article proposed Momentum Contrast (MoCo) for unsupervised visual representation learning, which enables building a large and consistent dictionary on-the-fly that facilitates contrastive learning.
Posted Content
Aggregated Residual Transformations for Deep Neural Networks
TL;DR: On the ImageNet-1K dataset, it is empirically show that even under the restricted condition of maintaining complexity, increasing cardinality is able to improve classification accuracy and is more effective than going deeper or wider when the authors increase the capacity.
Proceedings ArticleDOI
Holistically-Nested Edge Detection
Saining Xie,Zhuowen Tu +1 more
TL;DR: HED turns pixel-wise edge classification into image-to-image prediction by means of a deep learning model that leverages fully convolutional neural networks and deeply-supervised nets to approach the human ability to resolve the challenging ambiguity in edge and object boundary detection.