most citedEfficient Few-Shot Medical Image Analysis via Hierarchical Contrastive Vision-Language Learning

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cs.CV2025

Unlocking Compositional Control: Self-Supervision for LVLM-Based Image Generation

Fernando Gabriela Garcia, Spencer Burns, Ryan Shaw +1

This paper introduces Hierarchical Self-Supervised LVLM (Hi-SSLVLM), a novel generative model designed to significantly advance text-to-image synthesis, particularly for complex an…

cs.CV2025★ 1 cited

Efficient Few-Shot Medical Image Analysis via Hierarchical Contrastive Vision-Language Learning

Harrison Fuller, Fernando Gabriela Garcia, Victor Flores

Few-shot learning in medical image classification presents a significant challenge due to the limited availability of annotated data and the complex nature of medical imagery. In t…