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Training of the deep learning network requires the input point cloud to have a fixed scale, which means all point clouds in the batch should have similar scale and contain the same number of points. A good down-sampling strategy can reduce the impact of noise and meanwhile preserve the most...
Current developments in downsampling revolve around deep learning integrations. This has been used in fields like image processing and medical data, which involve using neural networks to downsample the data.6An example of this is SOM-US, which uses a two-layer neural network.7In recent years,...
Stochastic Downsampling for Cost-Adjustable Inference and Improved Regularization in Convolutional Networks deep-neural-networkscomputer-visiondeep-learningbatch-normalizationdeep-learning-algorithmsimagenetresnetregularizationconvolutional-networksconvolutional-neural-networksresnextpoolingbatchnormimagenet-datasetefficient-...
1 概述 基于核的SoftPool方法,使用了激活值的 softmax 加权和。 特点: SoftPool 操作可导 SoftPool 可以保留大量的激活描述特征,而计算量和内存消耗都很低。 对小目标友好,对大目标性能下降 2 Pool操作的各种变体 3 SoftPool SoftPool实现比较简单,指数加权后经过MaxPool,最后归一化。
Efficient Segmentation: Learning Downsampling Near Semantic Boundaries论文笔记 颇黎 一个小白大学生问题 自动驾驶任务依赖于良好的语义分割,为了加速运算,一般会对输入帧进行降采样。然而这种做法会遗漏小物体,并且会降低边界处的精度。 解决方案:内容自适应降采样,在语义边界处采样更多的像素 ⇒ 能够在边界处获得更...
Down-Sampling Based Video Coding with Degradation-Aware Restoration-Reconstruction Deep Neural Network Recently deep learning techniques have shown remarkable progress in image/video super-resolution. These techniques can be employed in a video coding system... MM Ho,G He,Z Wang,... 被引量: 0发表...
In recent years, deep learning algorithms have achieved remarkable results in medical image segmentation. These networks with an enormous number of paramet... W Song,H Yu,J Wu - 《Medical Physics》 被引量: 0发表: 0年 Building Extraction from High Spatial Resolution Remote Sensing Images via Mu...
{Content-Adaptive Downsampling in Convolutional Neural Networks}, author = {Hesse, Robin and Schaub-Meyer, Simone and Roth, Stefan}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), The 6$^\text{th}$ Efficient Deep Learning for Computer Vision (...
In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp. 4490–4499 (2018) Poux, F., Billen, R.: Voxel-based 3D point cloud semantic segmentation: unsupervised geometric and relationship featuring vs deep learning methods. ISPRS Int. J. Geo Inf. 8(5), 213 (...