领域对抗神经网络(Domain Adversarial Neural Network (DANN))、对抗性区分域适应(Adversarial Discriminative Domain Adaptation (ADDA)):使用领域鉴别器来区分两个领域,同时学习特征提取器来混淆领域对抗训练范例中的领域鉴别器 条件域对抗网络(Conditional Domain Adversarial Network (CDAN)):通过匹配标签和特征的联合分布...
“unknownclass”andthecategoriesprovidedduringtrainingisreferredtoasthe“knownclass.”Ifthesesamplescanberecognizedasunknown,wecanarrangenoisydatasetsandpickoutthesamplesofinterestfromthem.Moreover,ifrobotsworkinginthereal-worldcandetectunknownobjectsandaskannotatorstogivelabelstothem,theserobotswillbeabletoeasilyexpand...
In this work, we aim to build an unbiased foreground predictor by re-formulating the task under Unsupervised Domain Adaptation, where the current biased predictor helps form the domains: the seen object locations and confident background locations as the source domain, and the rest ambiguous ones ...
For open-world detection, we use a multitask classifier that encompasses both a closed-world and an open-world classifier. The closed-world classifier is trained on the original data to classify known classes, whereas the open-world classifier is used to determine whether the input belongs to ...
A curated list of papers & resources linked to open set recognition, out-of-distribution, open set domain adaptation and open world recognition open-sourceawesome-listopen-setopen-set-recognitionopen-word-recognitionout-of-distribution-detectionopen-set-domain-adaptation ...
Domain Adaptive Object Detection (DAOD) transfers an object detector to a novel domain free of labels. However, in the real world, besides encountering novel scenes, novel domains always contain novel-class objects de facto, which are ignored in existing research. Thus, we formulate and study ...
(This article belongs to the Special Issue: The Next-generation Deep Learning Approaches to Emerging Real-world Applications) Abstract In task-oriented dialogue systems, intent, emotion, and actions are crucial elements of user activity. Analyzing the relationships among these elements to control and...
Rapeseed (Brassica napus L., 2n = 4x = 38; genome AACC) is one of the most important oilseed crops in the world and the genetic control of yield and yield-related traits has been studied extensively. However, less attention has been focused on elucidating the genetic ...
Matter is one of the most popular IOT protocols in the world. I am very honored to participate in Matter Open Source to collaborate with engineers from global companies, and I would like to suggest that everyone is being part of the community as soon as possible. ...
Head and Neck cancer (HNC) is the sixth most common type of cancer by incidence worldwide [1], with an approximate 5-year survival rate of 65% [2,3], dropping to an average of 40% for patients diagnosed in advanced stage [4]; this is due to a poor response to standard anti-cance...