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05/08/2019
Photometric Transformer Networks and Label Adjustment for Breast Density Prediction
Grading breast density is highly sensitive to normalization settings of ...
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03/26/2019
SRM : A Style-based Recalibration Module for Convolutional Neural Networks
Following the advance of style transfer with Convolutional Neural Networ...
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05/28/2018
Keep and Learn: Continual Learning by Constraining the Latent Space for Knowledge Preservation in Neural Networks
Data is one of the most important factors in machine learning. However, ...
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05/21/2018
Batch-Instance Normalization for Adaptively Style-Invariant Neural Networks
Real-world image recognition is often challenged by the variability of v...
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11/04/2016
Semantic Noise Modeling for Better Representation Learning
Latent representation learned from multi-layered neural networks via hie...
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02/16/2016
Deconvolutional Feature Stacking for Weakly-Supervised Semantic Segmentation
A weakly-supervised semantic segmentation framework with a tied deconvol...
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02/04/2016