@article{baranchuk2021label, title={Label-efficient semantic segmentation with diffusion models}, author={Baranchuk, Dmitry and Rubachev, Ivan and Voynov, Andrey and Khrulkov, Valentin and Babenko, …
4)使用合成数据集训练其他语义分割方法,并在真实图像上进行测试 在本文中作者称之为“Few shot semantic segmentation methods”,并用DDPM的生成器替换了StyleGAN生成器进行了第二组实验。 所以这个大表能看出如下结论: 1)DDPM有着最好的语义分割结果;MAE紧随其后; 2)SwAV性能不佳:用判别式的方法进行预训练会压缩...
While most prior works focus on indoor scenes, we are one of the first to propose a label-efficient semantic segmentation pipeline for outdoor scenes with LiDAR point clouds. Our method co-designs an efficient labeling process with semi/weakly supervised learning and is applicable to nearly any ...
In this paper, we demonstrate that diffusion models can also serve as an instrument for semantic segmentation, especially in the setup when labeled data is scarce. In particular, for several pretrained diffusion models, we investigate the intermediate activations from the networks that perform the ...
Official implementation of the paper Label-Efficient Semantic Segmentation with Diffusion ModelsThis code is based on datasetGAN and guided-diffusion.Note: use --recurse-submodules when clone.OverviewThe paper investigates the representations learned by the state-of-the-art DDPMs and shows that they ...
Consequently, the application of fully supervised DL for semantic segmentation of buildings’ point clouds at LoD3 level is severely limited. In order to reduce the number of required annotated labels, we proposed a novel label-efficient DL network that obtains per-point semantic labels of LoD3 ...
Abstract.The crux of semi-supervised semantic segmentation is to assign adequate pseudo-labels to the pixels of unlabeled images. A common practice is to select the highly confident predictions as the pseudo ground-truth, but it leads to a problem that most pixels may be left unused due to th...
3D semantic segmentation is the task of assigning semantic labels to each point in a 3D point cloud. Point-wise categorical annotations are collected as ground truth for this task. IoU (Intersection over Union) and mean IoU (mIoU) are commonly used metrics for evaluations. IoU measures the ove...
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来自 Semantic Scholar 喜欢 0 阅读量: 8493 作者: DH Lee 摘要: We propose the simple and efficient method of semi-supervised learning for deep neural networks. Basically, the proposed network is trained in a supervised fashion with labeled and unlabeled data simultaneously. For un-labeled data, ...