Tag: computational efficiency in deep learning

A new study reports three neural modules that cut computational cost by 26.7 percent while improving accuracy benchmarks for real-time ...

New research shows that layer-wise pruning cuts neural network inference time and energy by up to a third while preserving ...

Researchers from Democritus University of Thrace propose DDMnet, a lightweight depthwise separable network integrated with Mask2Former, achieving near state-of-the-art instance ...

The evolution of machine learning has navigated numerous pathways, each marked by innovations that redefine the way we approach the ...

In an era where vision disorders are rapidly becoming a global health challenge, addressing myopia—or nearsightedness—has taken center stage in ...