原文:论文阅读:《Attention Bottlenecks for Multimodal Fusion》

标题:MBT:多模态融合的注意力瓶颈 来源:NeurIPS https: arxiv.org abs . 代码:暂无 一 问题的提出 多模态视频分类任务 人类通过同时处理和融合来自视觉和音频等多种模态的高维输入来感知世界。目前的多模态任务存在着一定的问题: CVPR What makes training multi modal classification networks hard . 多模 ...

2022-03-30 18:47 0 736 推荐指数:

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#论文阅读#attention is all you need

Vaswani A, Shazeer N, Parmar N, et al. Attention is all you need[C]//Advances in Neural Information Processing Systems. 2017: 5998-6008. ...

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论文阅读 | Adaptive Attention Span in Transformers

论文地址:https://arxiv.org/abs/1905.07799?context=cs.LG 研究的问题: 相对于LSTM来说,Transformer几乎在所有的NLP任务上都能胜出。但是有一点,Transformer的时间复杂度是O(n^2)的,因为对于每一步,它都需要计算 ...

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[论文阅读] Residual Attention(Multi-Label Recognition)

Residual Attention 文章: Residual Attention: A Simple but Effective Method for Multi-Label Recognition, ICCV2021 下面说一下我对这篇文章的浅陋之见, 如有错误, 请多包涵指正. 文章 ...

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论文阅读 | Lite Transformer with Long-Short Range Attention

论文:Lite Transformer with Long-Short Range Attention by Wu, Liu et al. [ code in github ] LSRA特点:两组head,其中一组头部专注于局部上下文建模(通过卷积),而另一组头部专注于长距离关系建模 ...

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