Tag: autoencoder

Researchers have developed a memory-augmented CNN-vision transformer autoencoder that uses Farneback optical flow to detect anomalies in surveillance video with ...

Researchers have developed a dual-channel graph completion network that reconstructs missing node features and structure simultaneously while performing well even ...

Researchers have developed TamperNet, a hybrid spatio-temporal deep learning framework that detects frame duplication, deletion, cloning, splicing, and inpainting in ...

Researchers used a deep learning model to compress 38 senescence-linked blood proteins into a single SASP Score that predicts mortality, ...

Researchers have developed a spectrum-guided, teacher–student AI framework that adapts its time windows to the rhythms of unlabeled system logs ...

A variational autoencoder trained only on healthy motion capture data can distinguish sex, speed and gait type while generating realistic ...

Researchers at IIT Roorkee and ISRO have developed an AI-driven inverse design method that predicts which ceramic, braze alloy, and ...