We propose a linked dynamic graph CNN (LDGCNN) to classify and segment point cloud directly. We remove the transformation network, link hierarchical features from dynamic graphs, freeze feature ...

A curated list of awesome prompt/adapter learning methods for vision-language models like CLIP.

In this paper, we address the UAV-enabled multi-user secure communications by proposing a deep graph reinforcement learning framework. Specifically, we reinterpret the security beamforming as a graph ...

Most schools follow a grade-centric system, where students may develop a “grades-over-understanding” mentality. This mindset means prioritizing high scores over deep comprehension and conceptual ...

With the emergence of advanced machine learning, graph-guided neural networks have gained attention for their unique ability to represent structured data and relationships among process variables. By ...

Ritesh Kumar, a leading expert in GRC automation, has played a pivotal role in transforming compliance processes through ...

Rote memory helps students become proficient in math, which is why in several countries typical multiplication lessons include not only conceptual learning but also rote memorization of the ...

Rote memory helps students become proficient in math, which is why in several countries typical multiplication lessons include not only conceptual learning but also rote memorization of the ...

The Central Selection Board, Bodoland Territorial Region, Assam, has announced 569 vacancies for Grade 3 and 4 posts under ...

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