The paper reports that quantum-inspired Bloch rotations, combined with classical flips and perfect rotations, improve ImageNet Top-1 accuracy by about 3% relative to classical augmentation alone.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Boosting Classification with Quantum-Inspired Augmentations
The paper reports that quantum-inspired Bloch rotations, combined with classical flips and perfect rotations, improve ImageNet Top-1 accuracy by about 3% relative to classical augmentation alone.