data augmentation 1diffusion models 1few-shot learning 1medical image classification 1reinforcement learning 1
From the 1 of 2 linked papers with an AI index.
2 papers
cs.CV2026
Steering Diffusion Models via Class-Contrastive Influence for Few-Shot Medical Classification
Jeeyung Kim, Erfan Esmaeili, Qiang Qiu
The paper introduces Class-Contrastive Influence (C2I) to evaluate how useful diffusion‑generated images are for few‑shot medical classification, and uses reinforcement learning to…
cs.CV2024
Text Embedding is Not All You Need: Attention Control for Text-to-Image Semantic Alignment with Text Self-Attention Maps
Jeeyung Kim, Erfan Esmaeili, Qiang Qiu
In text-to-image diffusion models, the cross-attention map of each text token indicates the specific image regions attended. Comparing these maps of syntactically related tokens pr…