Contrastive learning with in-painting as a self-supervised pre-training task slightly improves capsule network accuracy on PICCOLO polyp classification (0.40 vs 0.38) but gives worse AUROC than ImageNet pre-training.
In: IAPR International Workshop on Artificial Neural Networks in Pattern Recognition (2022)
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
-
Self-Supervised Learning for Pre-training Capsule Networks: Overcoming Medical Imaging Dataset Challenges
Contrastive learning with in-painting as a self-supervised pre-training task slightly improves capsule network accuracy on PICCOLO polyp classification (0.40 vs 0.38) but gives worse AUROC than ImageNet pre-training.