Pointwise Conv:就是1*1卷积,简写PW,可以改变输出维度,降低参数量。 Bottleneck:三步走:先PW对数据降维,再进行正常卷积,最后再PW升维。 因为中间一步的正常卷积一般是3*3, 5*5, 卷积核尺寸大于第一步和第三…
In this paper, we propose the Decoupling Multi-branch Pointwise Convolutions (DMPConv), which works without a corresponding increase in parameters and calculations during inferencing, and at the same time, can maintain the same performance improvement ability a...
Assign User on Comment [Break XPU][qconv] Add torch.int8 as output dtype assertion in qconv2d_pointwise #136485 Sign in to view logs Summary Jobs assign Run details Usage Workflow file Triggered via issue January 17, 2025 07:19 pytorch-bot[bot] commented on #145055 465a1cf Status...
Tensors and Dynamic neural networks in Python with strong GPU acceleration - [Intel GPU] qconv.pointwise with mixed dtype XPU support · pytorch/pytorch@2ddadf1
Pointwise Convolutional Neural Networks 本文提出了一种用于三维点云语义分割和目标识别的卷积神经网络。网络的核心是逐点卷积,这是一种新的卷积算子,可以应用于点云的每个点。作者使用全卷积网络设计,虽然实现起来出奇地简单,但在语义分割和对象识别任务中都能产生有竞争力的准确性。作者表明,在进行对象分类的特征学习...
WILDCAT: Weakly Supervised Learning of Deep ConvNets for Image Classification, Pointwise Localization and Segmentation Thibaut Durand(1)⋆, Taylor Mordan(1,2)⋆, Nicolas Thome(3), Matthieu Cord(1) (1) Sorbonne Universite´s, UPMC Univ Paris 06, CNRS, LIP6 UMR 7606, 4 place Jussieu, ...
[Break XPU][Inductor UT] Skip newly added test_logaddexp as logaddexp_xpu not implemented for ComplexFloat. #145039 -> [Break XPU][qconv] Add torch.int8 as output dtype assertion in qconv2d_pointwise #145055 [Break XPU][Inductor UT] Generalize device bias code newly added in test...
Tensors and Dynamic neural networks in Python with strong GPU acceleration - [Break XPU][qconv] Add torch.int8 as output dtype assertion in qconv2d_pointwise · pytorch/pytorch@8888ada