原因是由于label set shift 的问题,如果使用特征对齐的话,对出现较少的类别的信息提取出现偏差,对齐会出现失误,所以这里采用元学习的方法来进行泛化特征提取。 优化目标为: meta-training meta-objective 关于为什么这里会有两个目标,可以参考Learning to Generalize:Meta-Learning for Domain Generalization这篇论文。可以...
作者首先对比了现有的一些深度方法,比如DAN、RTN、BP,然后发现提出的方法不仅在open set,在close set上也很好。然后,提取深度特征后,又对比了TCA、GFK、SA、CORAL这几个方法,仍然是作者的方法好。 文章做了大量的实验,解释了很多open set下进行domain adaptation的规律。详细请参考文章。 总结 这篇文章提出了一个新...
we first propose a challenging but practical problem for face anti-spoofing, open-set single-domain generalization-based face anti-spoofing, aiming to learn face anti-spoofing models that generalize well to unseen target domains with known and unknown attack types based on a single source domain. ...
Open set domain adaptation by backpropagation, Kuniaki Saito, Shohei Yamamoto, Yoshitaka Ushiku, Tatsuya Harada. (ECCV 2018). 2017 Open World Recognition 2022 2021 2020 2019 2018 2017 Open-World Visual Recognition Using Knowledge Graphs, Lonij V, Rawat A, Nicolae M I. (arXiv, 2017). ...
These clustering information provides domain-specific visual cues, facilitating the generalization of Self-Ensembling for both closed-set and open-set scenarios. Technically, clustering is firstly performed over all the unlabeled target samples to obtain the category-agnostic clusters, which reveal the ...
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Self-supervised learning is a kind of machine learning approach that tries to extract the inherent structure in the data by predicting the output of its own input. This is beneficial for learning rich data representations and improving the generalization ability in downstream tasks. In self-supervise...
The former is intended to be used for model training and testing purposes; the latter is an excluded data set composed of images from 3 randomly selected clinical sites and used to measure the model’s generalization capability to unseen data sets. The main data set does not contain any ...
Domain adaptation语音合成-speech-synthesis天文科学-Astronomy人脸识别-Face Recognition行为识别-Action Recognition视频分类-Video Classification开放域问答-Open-Domain Question Answering关系抽取-Relation Extraction图像描述-Image Caption命名实体识别器-Named Entity Recognition Ner人脸检测-Face Detection命名实体识别-Named ...
RDFS vocabularies and OWL ontologies enable the modeling of any domain in the world by explicitly describing existing entities, their attributes and the relationships among these entities. These entities and relationships are usually classified in specialization or generalization hierarchies. An ontology ...