首页|Investigators at University of Science and Technology Beijing DetailFindings in Pattern Recognition and Artificial Intelligence (Advancing Incremental Few-shot Video Action Recognition With Cluster Compression and Generative Separation)
Investigators at University of Science and Technology Beijing DetailFindings in Pattern Recognition and Artificial Intelligence (Advancing Incremental Few-shot Video Action Recognition With Cluster Compression and Generative Separation)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on Machine Learning - Patte rn Recognition and Artificial Intelligence arepresented in a new report. Accord ing to news originating from Beijing, People’s Republic of China, byNewsRx corr espondents, research stated, “Few-Shot Class Incremental Learning (FSCIL) is a t rendingtopic in deep learning, addressing the need for models to incrementally learn novel classes, particularly inreal-world scenarios where continuously eme rging classes come with limited labeled samples. However,the majority of FSCIL research has been dedicated to image classification and object recognition tasks ,with limited attention given to video action classification.”
BeijingPeople’s Republic of ChinaAsi aPattern Recognition and Artificial IntelligenceMachine LearningUniversity of Science and Technology Beijing
NETL
NSTL
