"ADAS: A Direct Adaptation Strategy for Multi-Target Domain Adaptive Semantic Segmentation "解读 MoveOn 电子信息1 人赞同了该文章 研究背景和意义 图1 现有多目标域自适应方法 大多数以往多目标域泛化算法都是采用单目标域模型风格化迁移不同目标域数据来构建多目标域模型。 这些方法取得了良好的效果,但其性能...
Recent progresses in domain adaptive semantic segmentation demonstrate the effectiveness of adversarial learning (AL) in unsupervised domain adaptation. However, most adversarial learning based methods align source and target distributions at a global image level but neglect the inconsistency around local ...
(新手自己慢慢摸索着看paper,请轻喷,欢迎指教和讨论) 文章:Prototypical Pseudo Label Denoising and Target Structure Learning for Domain Adaptive Semantic Segmentation https://openaccess.thecvf.com/…
Domain adaptive semantic segmentation attempts to make satisfactory dense predictions on an unlabeled target domain by utilizing the model trained on a labeled source domain. One solution is self-training, which retrains models with target pseudo labels. Many methods tend to alleviate noisy pseudo labe...
Wu et al. "DANNet: A one-stage domain adaptation network for unsupervised nighttime semantic segmentation" in CVPR, 2021. Hoyer et al. "DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation" in CVPR, 2022. ...
SAM4UDASS: When SAM Meets Unsupervised Domain Adaptive Semantic Segmentation in Intelligent Vehicles This is the official implementation of our paper "SAM4UDASS: When SAM Meets Unsupervised Domain Adaptive Semantic Segmentation in Intelligent Vehicles". News Our paper is accepted by IEEE Transactions on...
《Towards Fewer Annotations: Active Learning via Region Impurity and Prediction Uncertainty for Domain Adaptive Semantic Segmentation》(CVPR 2022) GitHub: github.com/BIT-DA/RIPU [fig7]《ExSum: From Local Explanations to Model Understanding》(NAACL 2022) GitHub: github.com/YilunZhou/ExSum...
Learning to Adapt Structured Output Space for Semantic Segmentation 会议:CVPR2018 任务:domain adaptation segmentation 任务详解:domain adaptation segmentation使用已有像素级别标签的gta5数据集(游戏场景图片)训练分割网络,然后利用这个分割网络分割现实场景图片。虽然source domain(游戏场景)和Target Domain(现实场景)在图...
摘要: enhance the model's generalization ability in unsupervised domain adaptive segmentation tasks, most approaches have primarily focused on pixel-level local features, but neglected the clu...关键词: Unsupervised domain adaption Semantic segmentation Two-level category alignment Class activation map ...
1、Domain Adaptive Semantic Segmentation with Self-Supervised Depth Estimation 本文利用源域数据集来实现无监督的语义分割任务。 源域数据集:合成图片或正常天气的图片,其中包括带标签的语义分割图像以及深度图像(利用双目相机等方式采用自监督的方式估计,如上论文1类似); ...