The proposed method really just try to distill the summed squared(or other statistics e.g. summed lp norm) of activations in a hidden feature map.(link:Paying More Attention to Attention: Improving the Performance of...),作者回应说: 大意就是作者说,他认为的attention map就是展示了哪些输入对...
论文名:Paying more attention to attention: improving the performance of convolutional neural networks via Attention Transfer 接受:ICLR2017 解决问题:为了提升学生网络的性能。 解决方案:提出了transferring attention, 目标是训练出的学生模型不仅预测精度更高,而且还需要让他们的特征图与教师网络的特征图相似。
代码:https://github.com/szagoruyko/attention-transfer 编辑:lzc 除了输出结果外,中间层中的某些特征也可以用以将知识从教师网络迁移到学生网络中。比如本文中提到的注意力特征图,其包括基于激活和基于梯度两种特征图。 基于激活: 将一个C*H*W的CNN三维激活张量,映射为一个H*W的二维张量,该二维张量便称之为...
PAYING MORE ATTENTION TO ATTENTION: IMPROVING THE PERFORMANCE OF CONVOLUTIONAL NEURAL NETWORKS VIA ATTENTION TRANSFERcugtyt.github.io/blog/papers/2019/0114 上面连接是原文 ABSTRACT 已经证明注意力在用人工智能网络的许多任务如计算机视觉和自然语言处理上有很重要的作用。本文展示了通过给CNN定义合适的注意力,...
《Paying More Attention to Attention: Improving the Performance of Convolutional Neural Networks via Attention Transfer》S Zagoruyko, N Komodakis [Universite Paris-Est, Ecole des Ponts ParisTech] (2016) O网页链接 长图 标签: 论文 ...
UnderreviewasaconferencepaperatICLR2017 PAYINGMOREATTENTIONTOATTENTION: IMPROVINGTHEPERFORMANCEOFCONVOLUTIONAL NEURALNETWORKSVIAATTENTIONTRANSFER SergeyZagoruyko,NikosKomodakis Universit´eParis-Est, ´ EcoledesPontsParisTech Paris,France {sergey.zagoruyko,nikos.komodakis}@enpc.fr ABSTRACT Attentionplaysacritical...
Coming to Portfolios Near You: Investment Ideas You Should be Paying More Attention To. Postulating that, when hiring an investment consultant or wealth advisor, high-net-worth families expect good investment performance, the author first note......
Paying more attention to attention Approach By properly defining attention for convolutional neural networks, we can actually use this type of information in order to significantly improve the performance of a student CNN network by forcing it to mimic the attention maps of a powerful teacher network...
Image captioning has been recently gaining a lot of attention thanks to the impressive achievements shown by deep captioning architectures, which combine Convolutional Neural Networks to extract image representations, and Recurrent Neural Networks to generate the corresponding captions. At the same time, ...
[ECCV 2024] Paying More Attention to Image: A Training-Free Method for Alleviating Hallucination in LVLMs - LALBJ/PAI