While the CTM shows strong promise, it is still primarily a research architecture and is not yet production-ready out of the box.

by incorporating the sub-data classification method into transfer learning. We evaluate our method on several data sets and obtain promising results. With the proposed strategy, the performance of ...

Human action recognition has found many pragmatic applications in video surveillance, human–computer interaction, entertainment, autonomous driving, etc. Owing to the recent development of deep ...

Monday Agbonika has said that one of the challenges men of the command face while going after kidnappers is that they use their hostages as human shields but said they are also adopting new ways ...

This is the time to mobilize action to reinvigorate a global movement for human rights. Check out our live coverage of the Day The Universal Declaration of Human Rights (UDHR) is a milestone ...

U.S. District Judge James Boasberg pressed Justice Department lawyers Wednesday evening over public comments President Donald Trump and other Cabinet officials made about deportation proceedings ...

"However, LCPS does investigate and may take disciplinary action when student behavior violates LCPS’ Student Rights & Responsibilities Handbook for Families and Student Code of Conduct." ...

We've been testing out the best architecture ... using it, and your skill-level. AutoCAD is an amazing computed-aided design tool for professionals, for example. But there’s a very steep ...

This project focuses on recognizing human actions in images using deep learning models, specifically Convolutional Neural Networks (CNNs). The dataset used for this task is the Stanford 40 Action ...

We systematically evaluated mainstream AI models and proposed EC-HAENet, a hybrid-architecture ensembled deep learning model ... images from 300 EC patients at Beijing Cancer Hospital. Using this ...