supported by the Deanship of Scientific Research at King Khalid University through Small Groups funding(Project Grant No.RGP1/243/45);The funding was awarded to Dr.Mohammed Abker.And Natural Science Foundation of China under Grant 61901388.
Arabic Dialect Identification(DID)is a task in Natural Language Processing(NLP)that involves determining the dialect of a given piece of text in Arabic.The state-of-the-art solutions for DID are built on various deep ...
Representation learning from unlabeled skeleton data is a challenging task.Prior unsupervised learning algorithms mainly rely on the modeling ability of recurrent neural networks to extract the action representations....
the Biomedical Science and Technology Support Special Project of Shanghai Science and Technology Committee(No.20S31908300)。
In response to the shortcomings of the common encoders in the industry,of which the photoelectric encoders have a poor anti-interference ability in harsh industrial environments with water,oil,dust,or strong vibration...
funded by the Science and Technology Foundation of Chongqing EducationCommission(GrantNo.KJQN202301153);the ScientificResearch Foundation of Chongqing University of Technology(Grant No.2021ZDZ025);the Postgraduate Innovation Foundation of Chongqing University of Technology(Grant No.gzlcx20243524).
In task-oriented dialogue systems, intent, emotion, and actions are crucial elements of user activity. Analyzing the relationships among these elements to control and manage task-oriented dialogue systems is a challen...
Retinal blood vessel segmentation is crucial for diagnosing ocular and cardiovascular diseases.Although the introduction of U-Net in 2015 by Olaf Ronneberger significantly advanced this field,yet issues like limited t...
In this paper,the sentiment classification method of multimodal adversarial autoencoder is studied.This paper includes the introduction of the multimodal adversarial autoencoder emotion classification method and the e...
supported by the National Natural Science Foundation of China(No.62277010);the Fuzhou-Xiamen-Quanzhou National Independent Innovation Demonstration Zone Collaborative Innovation Platform Project(No.2022FX6);the Fujian Provincial Health Commission Technology Plan Project(No.2021CXA001).
Action segmentation has made significant progress,but segmenting and recognizing actions from untrimmed long videos remains a challenging problem.Most state-of-the-art methods focus on designing models based on tempor...
support for this work was supported by Key Lab of Intelligent and Green Flexographic Printing under Grant ZBKT202301.
Current spatio-temporal action detection methods lack sufficient capabilities in extracting and comprehending spatio-temporal information. This paper introduces an end-to-end Adaptive Cross-Scale Fusion Encoder-Decode...
supported by the National Natural Science Foundation of China(No.61972227);the Natural Science Foundation of Shandong Province(No.ZR201808160102);Shandong Provincial Natural Science Foundation Key Project(No.ZR2020KF015);the Key Research and Development Project of Shandong Province(No.2019GSF109112);the Science and Technology Plan for Young Talents in Colleges and Universities of Shandong Province(No.2020KJN007);the Scientific Research Studio in Colleges and Universities of Ji’nan City(No.2021GXRC092);the Science and Technology Research Program for Colleges and Universities in Shandong Province(No.KJ2018BZN029).
Rain streaks in an image appear in different sizes and orientations,resulting in severe blurring and visual quality degradation.Previous CNNbased algorithms have achieved encouraging deraining results although there a...