To address this problem, we propose a new 3D Cross-Pseudo Supervision (3D-CPS) method, a semi-supervised network architecture based on nnU-Net with the Cross-Pseudo Supervision method. We design a new nnU-Net based preprocessing. In addition, we set the semi-supervised loss weights to ...
CVPR 2021|June 2021 In this paper, we study the semi-supervised semantic segmentation problem via exploring both labeled data and extra unlabeled data. We propose a novel consistency regularization approach, called cross pseudo supervision (CPS). Our approach imposes the consistency o...
两个网络的结构相同,但使用不同的初始化(作为不同的扰动),具体而言,2个网络backbone部分使用同样的ImageNet预训练权重,Segmentation Head部分使用不同的随机初始化权重。 上图中的Y1和Y2分别表示2个网络输出的one hot标签,⟶ 表示前向计算,− − → 表示监督信息的传播,//表示不进行梯度计算。 对于无标签数...
[CVPR 2021] Semi-Supervised Semantic Segmentation with Cross Pseudo Supervision byXiaokang Chen1,Yuhui Yuan2,Gang Zeng1,Jingdong Wang2. 1Key Laboratory of Machine Perception (MOE), Peking University2Microsoft Research Asia. [Poster] [Video (YouTube)] ...
(2021). Semi-supervised semantic segmentation with cross pseudo supervision. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, (pp. 2613–2622) Zou, Y., Yu, Z., Kumar, B., Wang, J. (2018). Unsupervised domain adaptation for semantic segmentation via ...
16 teams from 9 different countries submitted their algorithm for the evaluation phase. The level of performance reached by the top-performing teams is strikingly high (best median Dice score — VS: 88.4%; Cochleas: 85.7%) and close to full supervision (median Dice score — VS: 92.5%; Coch...
2.2 Pseudo Label 伪标签 互补标签:防止模型对噪声数据过拟合,加速模型训练 2.4 Cross Labeling Supervision 前文介绍过使用分类器自身生成的人工标签会有信息偏差,所以在CLS中提出了两种策略 2.4.1 Weighted Labeling 第一种方法是使用样本重加权处理错误的人工标签。 因为softmax后输出的最大概率分布更可能是准确的...
(b)For the unlabeled images, the pseudo-supervision loss (ℓps) is computed using the pseudo labels (pl) generated from ensemble of predictions on the two networks and the output of the third network. The network outputs (Pe, Pdand Po) are utilized to compute the pairwise similarity map...
Development of SARS and MERS neutralization methods based on pseudoviruses. Chin. J. Virol. 35, 189–195 (2019). Google Scholar Breitfeld, D. et al. Follicular B helper T cells express CXC chemokine receptor 5, localize to B cell follicles, and support immunoglobulin production. J. Exp. ...
Existing methods utilize pseudo or weak supervision in LR space and thus deliver results that are blurry or not faithful to the source modality. To address this issue, we present a mutual modulation SR (MMSR) model (Fig. 2), which tackles the task by a mutual modulation strategy, including...