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10/25/2019
Reducing Domain Gap via Style-Agnostic Networks
Deep learning models often fail to maintain their performance on new tes...
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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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05/21/2018
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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11/02/2016
Dual Attention Networks for Multimodal Reasoning and Matching
We propose Dual Attention Networks (DANs) which jointly leverage visual ...
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08/25/2016
