Aug 12, 2019 · In our paper, we offer a new point of view that self-attention mechanism can help to regulate the noise by enhancing instance-specific ...
This repository is the implementation of "Instance Enhancement Batch Normalization: an Adaptive Regulator of Batch Noise" [paper] on CIFAR-100 dataset. Our ...
Through experiments on style trans- fer, we find that the self-attention mechanism is an adaptive batch noise regulator for the model by enhancing instance.
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In our paper, we offer a new point of view that the self-attention mechanism can help to regulate the noise by enhancing instance-specific information to obtain ...
An attention-based BN called Instance Enhancement Batch Normalization (IEBN) that recalibrates the information of each channel by a simple linear ...
PDF | Batch Normalization (BN) (Ioffe and Szegedy 2015) normalizes the features of an input image via statistics of a batch of images and this batch.
Aug 12, 2019 · Instance Enhancement Batch Normalization: an Adaptive Regulator of Batch Noise ... batch noise by enhancing instance-specific information.
Instance Enhancement Batch Normalization: an Adaptive Regulator of Batch Noise (AAAI 2020). Senwei Liang, Zhongzhan Huang, Mingfu Liang, Haizhao Yang; [Paper] ...
Instance enhancement batch normalization: An adaptive regulator of batch noise. S Liang, Z Huang, M Liang, H Yang. AAAI Conference on Artificial Intelligence ...
Instance Enhancement Batch Normalization: An Adaptive Regulator of Batch Noise. Proceedings of the AAAI Conference on Artificial Intelligence, 34(04), 4819 ...