首页|Chongqing University Researcher Provides New Study Findings on Pattern Recognition and Artificial Intelligence (An End-to-End Video Coding Method via Adaptive Vision Transformer)
Chongqing University Researcher Provides New Study Findings on Pattern Recognition and Artificial Intelligence (An End-to-End Video Coding Method via Adaptive Vision Transformer)
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
World Scientific
New study results on pattern recognition and artificial intelligence have been published. According to news reporting from Chongqing, People’s Republic of China, by NewsRx journalists, research stated, “Deep learning-based video coding methods have demonstrated superior performance compared to classical video coding standards in recent years. The vast majority of the existing deep video coding (DVC) networks are based on convolutional neural networks (CNNs), and their main drawback is that since CNNs are affected by the size of the receptive field, they cannot effectively handle long-range dependencies and local detail recovery.”
Chongqing UniversityChongqingPeople’s Republic of ChinaAsiaMachine LearningPattern Recognition and Artificial Intelligence
NETL
NSTL
World Scientific
