利用Geo-CNN在特征级逼近三维多视图增强 不使用输入级多视图增强,而是使用GeoConv操作在网络的特征级近似旋转。这是通过沿不同方向共享边缘要素的计算并仅更改聚合模型来实现的。具体来说,我们通过操纵GeoConv中的聚合步骤来近似多视图训练和测试: Hierarchical Depthwise Graph Convolutional Neural Network for 3D Semanti...
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 ...
Tensors and Dynamic neural networks in Python with strong GPU acceleration - [Intel GPU] qconv.pointwise with mixed dtype XPU support · pytorch/pytorch@2ddadf1
WILDCAT: Weakly Supervised Learning of Deep ConvNets for Image Classification, Pointwise Localization and Segmentation 来自 Semantic Scholar 喜欢 0 阅读量: 684 作者:T Durand,T Mordan,N Thome,M Cord 摘要: This paper introduces WILDCAT, a deep learning method which jointly aims at aligning image ...
Tensors and Dynamic neural networks in Python with strong GPU acceleration - [Intel GPU] qconv.pointwise with mixed dtype XPU support · pytorch/pytorch@b1560e4