Search Results for author: Yongluan Yan

Found 3 papers, 0 papers with code

Weakly Supervised Region Proposal Network and Object Detection

no code implementations ECCV 2018 Peng Tang, Xinggang Wang, Angtian Wang, Yongluan Yan, Wenyu Liu, Junzhou Huang, Alan Yuille

The Convolutional Neural Network (CNN) based region proposal generation method (i. e. region proposal network), trained using bounding box annotations, is an essential component in modern fully supervised object detectors.

Object object-detection +2

Revisiting Multiple Instance Neural Networks

no code implementations8 Oct 2016 Xinggang Wang, Yongluan Yan, Peng Tang, Xiang Bai, Wenyu Liu

We propose a new multiple instance neural network to learn bag representations, which is different from the existing multiple instance neural networks that focus on estimating instance label.

Multiple Instance Learning Weakly-supervised Learning

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