The domain confusion loss: \mathcal{L}=\mathcal{L}_{C}(X_{L},y)+\lambda\text{MMD}^{2}(X_{S},X_{T}) 3.2 Model Structure The architecture optimizes a deep CNN for both classification loss as well as domain invariance. The model can be trained for supervised adaptation, when ther...
[论文笔记]Deep Domain Confusion: Maximizing for Domain Invariance 该论文提出DDC(DeepDomainConfusion)解决深度网络的自适应问题,应用于迁移学习。 摘要一般的监督学习deep-CNN模型需要在大规模的数据集上训练,但不可移植。微调预训练...应用于没有标签的目标域数据。 距离公式 其中φ(·)是由源域与目标域数据点...
To address these issues, an effective UDA method namely deep residual LSTM with Domain-invariance (DIDRLSTM) is investigated to improve the prognostic performance. First, the DRLSTM is designed as the feature extractor to learn high-level features from both source and target domains. The ...
图片来源:《Deep Domain Confusion: Maximizing for Domain Invariance》 作者通过MMD来衡量源领域和目标领域的分布差异。MMD是最大均值差异,通过一个映射 ϕ(⋅) 将源领域 XS 中的数据 xs 和目标领域 XT 中的数据 xt 映射到其他空间,描述映射后表示均值的差异。训练中,MMD基于每个batch的数据计算得到。 MMD(...
domain! loss! classification! loss! Figure1:OurarchitectureoptimizesadeepCNNforboth classificationlossaswellasdomaininvariance.Themodel canbetrainedforsupervisedadaptation,whenthereisa smallamountoftargetlabelsavailable,orunsupervised adaptation,whennotargetlabelsareavailable.Weintro- ducedomaininvariancethroughdo...
[论文笔记]Deep Domain Confusion: Maximizing for Domain Invariance,程序员大本营,技术文章内容聚合第一站。
Probabilistic version of the invariance of domain for contractive field and Schauder invertibility theorem are proved. As an application, the stability of probabilistic open embedding is established.doi:10.1155/S1048953302000035Ismat BegSorin GalJournal of Applied Mathematics and Stochastic Analysis...
10 Dec 2014·Eric Tzeng,Judy Hoffman,Ning Zhang,Kate Saenko,Trevor Darrell· Recent reports suggest that a generic supervised deep CNN model trained on a large-scale dataset reduces, but does not remove, dataset bias on a standard benchmark. Fine-tuning deep models in a new domain can requir...
person re-identification; feature fusion; feature memory; cross-domain invariance1. Introduction Person re-identification is a technique that uses computer vision to determine whether a specific person exists in an image or a video sequence; it has broad application prospects in the fields of public...
Official PyTorch implementation ofDomain Generalization via Rationale Invariance. Liang Chen, Yong Zhang, Yibing Song, Anton van den Hengel, Lingqiao Liu Preparation Dependencies pip install -r requirements.txt Datasets python -m domainbed.scripts.download --data_dir=/my/datasets/path ...