Tag: invariant

Researchers introduced OTGCL, an optimal transport augmentation framework that preserves node-level degree structure during graph contrastive learning.

Researchers developed the CFS-DETR framework to improve agglomeration detection in fiber ultrastructure scanning electron microscopy across shifting scales.

A deep learning framework called InvZW leaves images completely unaltered while training a neural network through noise-adversarial learning to extract ...