will default to 1, so each window looks at the window before and after it dropout = 0.1, # post-attention dropout exact_windowsize = False # if this is set to true, in the causal setting, each query will see at maximum the number of keys equal to the window size ) mask = torch....
Local attention #34 Merged ardagoreci merged 42 commits into main from local-attention Sep 2, 2024 Merged Local attention #34 ardagoreci merged 42 commits into main from local-attention Sep 2, 2024 +1,409 −5,079 Conversation 0 Commits 42 Checks 11 Files changed 99 ...
不难发现,Depth-wise卷积的稀疏连接特性与Local Attention完全相同,在图像空间上局部链接,在通道上稀疏连接。 (2) 权重共享。权重共享的概念最初就诞生于卷积操作之中,Depth-wise卷积同样得益于权重共享操作,但与Local Attention略有不同,Depth...
不难发现,Depth-wise卷积的稀疏连接特性与Local Attention完全相同,在图像空间上局部链接,在通道上稀疏连接。 (2) 权重共享。权重共享的概念最初就诞生于卷积操作之中,Depth-wise卷积同样得益于权重共享操作,但与Local Attention略有不同,Depth-wise卷积在图像空间上共享权重,每一个空间位置都是用相同权重的卷积核来...
论文arxiv链接: https://arxiv.org/abs/2105.03889代码Github链接: https://github.com/pengzhiliang/Conformer参考: https://zhuanlan.zhihu.com/p/378322207 1、Abstract在卷积神经网… Tinke Transformer 不比 CNN 强!Local Attention和动态Depth-wise卷积的前世今生 机器学习社...发表于机器学习社... CNN+Trans...
在这项研究中,来自百度研究院和香港大学的研究者重新思考了局部自注意力机制,提出了特征空间局部注意力(feature-space local attention或简称FSLA)。 Vision Transformer 舍弃了 ConvNet 先验信息,通过引入自注意力机制对远距离特征依赖进行建模,提升了模型的表征能力。然而 Vision Transformer 的自注意力机制在图像分辨率...
论文地址:[2107.00641] Focal Self-attention for Local-Global Interactions in Vision Transformers (arxiv.org) 代码地址:microsoft/Focal-Transformer: [NeurIPS 2021 Spotlight] Official code for "Focal Self-attention for Local-Global Interactions in Vision Transformers" (github.com) ...
论文:【CVPR2021】Image super-resolution with non-local sparse attention 代码:https://github.com/HarukiYqM/Non-Local-Sparse-Attention 对于超分辨率应用,non-local attention是非常流行的,因为它可以利用图像中的 self-similarity prior,因为一些小的 pattern 会在图像中重复出现。但是,直接应用 non-local 也会出...
non local核心实现:https://github.com/pprp/SimpleCVReproduction/tree/master/attention/Non-local/Non-Local_pytorch_0.4.1_to_1.1.0/lib 知乎文章:https://zhuanlan.zhihu.com/p/33345791 博客:https://hellozhaozheng.github.io/z_post/计算机视觉-NonLocal-CVPR2018/...
On the Connection between Local Attention and Dynamic Depth-wise Convolution 收录会议: ICLR 2022 Spotlight 论文链接: https://arxiv.org/abs/2106.04263 代码链接: https://github.com/qinzheng93/GeoTransformer 文章更新了在 Large-scale 数据集预训练上 I-D-DW Conv. 的结果,在 ImageNet-22k 预训练,在...