论文链接:Semi-Supervised Domain Adaptation via Minimax Entropy,ICCV2019 代码链接:github.com/VisionLearni 是早期半监督学习和域适应结合的工作,主要解决如何使算法在不同数据域之间具备迁移能力的问题。这个方向个人觉得有些小众,因为在实际应用场景很少有符合定义的数据集,大部分都是unsupervised domain adaptation(UDA...
Semi-supervised Domain Adaptation via Minimax Entropy (ICCV 2019) Install pip install -r requirements.txt The code is written for Pytorch 0.4.0, but should work for other version with some modifications. Data preparation (DomainNet) To get data, run ...
github.com/kli-lalala/D 有哪些值得借鉴的好词佳句? Moreover, our performance gains could be yielded in bidirections, i.e., adapting from MR to CT, and from CT to MR.Contemporary UDA methods attempt to extract domain-invariant representations,Semi-supervised domain adaptation concentrates on an ...
One of the primary challenges in Semi-supervised Domain Adaptation (SSDA) is the skewed ratio between the number of labeled source and target samples, causing the model to be biased towards the source domain. Recent works in SSDA show that aligning only the labeled target samples with the sourc...
@article{kim2024semi, title={Semi-Supervised Domain Adaptation Using Target-Oriented Domain Augmentation for 3D Object Detection}, author={Kim, Yecheol and Lee, Junho and Park, Changsoo and won Kim, Hyoung and Lim, Inho and Chang, Christopher and Choi, Jun Won}, journal={IEEE Transactions...
GitHub: GitHub - Luodian/Learning-Invariant-Representations-and-Risks paper: arxiv.org/pdf/2010.0464 1.1 movitation 监督学习成功一部分依赖于test data和train data来自同分布的假设,如果test/train data存在 distribution shift会导致模型性能的下降。所以目前大多数UDA(unsupervised domain adaptation)关注domain-in...
This is a Pytorch implementation of "Cross-Domain Adaptive Clustering for Semi-Supervised Domain Adaptation" accepted by CVPR2021. More details of this work can be found in our paper: [Arxiv] or [OpenAccess]. Our code is based on SSDA_MME implementation. Install pip install -r requirements....
Semi-supervised Domain Adaptation for 3D Object Detection from Point Cloud. This work presents a new task SSDA for 3D object detection and makes the first effort for handling this task by proposing SSDA3D, a novel framework that jointly addresses inter-domain adaptation and intradomain generalization...
TLDR;Keyword/keyphrase extraction with zero-shot and few-shot semi-supervised domain adaptation. KeyBERT is a minimal and easy-to-use keyword extraction technique that leverages BERT embeddings to create keywords and keyphrases that are most similar to a document ...
Kai Li,Chang Liu,Handong ZhaoYulun Zhang, andYun Fu, "ECACL: A Holistic Framework for Semi-Supervised Domain Adaptation",ICCV 2021 Install pip install -r requirements.txt The code is written for Pytorch 0.4.1, but should work for other version with some modifications. ...