Tag: deep learning

A new self-supervised domain adaptation framework uses monocular depth foundation models and consistency-aware learning to make stereo matching networks reliable ...

A new dual-branch deep learning framework combining GAN-based super-resolution and transformer spectral modeling achieves over 99 percent accuracy classifying hyperspectral ...

Swansea University researchers have developed a hierarchical contrastive learning framework that combines scarce GP-recorded labels with abundant rule-based eGFR labels ...

Researchers have developed MPANet, a multi-modal deep learning network that fuses raw radio signal sequences with Markov Transition Field images ...

A prospective study of 124 patients found that a deep learning reconstruction technique called DEPICTA can complete a multi-contrast brain ...

A comprehensive new survey in Multimedia Tools and Applications maps deepfake generation techniques from GANs to diffusion models and finds ...

Researchers have enhanced the TimeXer forecasting model with a temporal convolutional network and differential attention, achieving lower stock prediction errors ...

A wavelet-based deep learning framework developed at Southwest Jiaotong University separates true aerodynamic forces from start-up vibration in hypersonic wind ...

A new review in the Journal of Ovarian Research maps how artificial intelligence is fusing hormones, imaging, clinical records, and ...

Researchers have developed DeepWonder3D, an AI-driven pipeline that rapidly and accurately extracts the activity of tens of thousands of neurons ...