This paper may bring to you a new perspective. Researchers from Microsoft Research Asia have looked into local attention and dynamic depth-wise convolution and found that a common convolution structure is in fact no worse than Transformer. The related paper, “O...
Reference @inproceedings{han2021connection, title={On the Connection between Local Attention and Dynamic Depth-wise Convolution}, author={Han, Qi and Fan, Zejia and Dai, Qi and Sun, Lei and Cheng, Ming-Ming and Liu, Jiaying and Wang, Jingdong}, booktitle={International Conference on Learning...
知识蒸馏将教师模型学习到的知识转移到学生模型从而来提高性能; 轻量级网络设计通过设计一些轻量级操作(如depth-wise convolution)来构建新的网络。 输入分辨率是影响CNN计算量和性能的重要因素。对于同一网络,更高的分辨率通常会导致更大的FLOPs...
网络剪枝 旨在通过一定的标准剪枝对模型性能不敏感的滤波器进行剪枝;低比特量化 指用低比特值来量化权重参数和激活值;知识蒸馏 将教师模型学习到的知识转移到学生模型从而来提高性能;轻量级网络设计 通过设计一些轻量级操作(如depth-wise convolution)来构建新的网络。 输入分辨率是影响CNN计算量和性能的重要因素。对于...
We compute guidance features from input ones using a depth-wise convolution layer 相关代码: classDDFFunction(Function):@staticmethoddefforward(ctx,features,channel_filter,spatial_filter,kernel_size=3,dilation=1,stride=1,head=1,kernel_combine='mul',version=''):# check argsassertfeatures.is_cuda,'...
The decoder consists of bilinear upsampling, dual DCD, skip connection, TA and \(1\times 1\) convolution, which is used to restore the encoded abstract feature map to its original size. The conventional CNN is limited by the computation cost, and its network depth and width can not be ...
We innovatively introduce dilated depth-wise convolutions into the Transformer structure to achieve global information extraction. According to the local perception characteristics of the convolution structure, the convolution residual block is designed to extract local information. Then the dynamic focus ...
We used pipeline to design a depth separable convolution parallel acceleration scheme, and made full use of the DSP resources of FPGA. This design finally achieved a good balance of hardware resources, processing speed and power ... W Liu,P Lv - 《Journal of Physics Conference》 被引量: 0...
The CDF corresponding to the entire attack tree is then derived by composing the CDFs in the leaves with maximum (for AND nodes), minimum (for OR nodes), and convolution (for SEQ nodes) operations along the tree structure. In general, it is fairly complex to compose the distributions, ...
Reference @inproceedings{han2021connection, title={On the Connection between Local Attention and Dynamic Depth-wise Convolution}, author={Han, Qi and Fan, Zejia and Dai, Qi and Sun, Lei and Cheng, Ming-Ming and Liu, Jiaying and Wang, Jingdong}, booktitle={International Conference on Learning...