Does Vision-Language Pretraining Granularity Matter? A Controlled Evaluation of Vision-Language Objectives Across Chest X-Ray Interpretation Tasks

arXiv:2609.31985 · cs.CV, eess.IV · Submitted 2026-09-25 · Read on arXiv

cs.CV, eess.IV

Submitted: 2026-09-25

Updated: 2026-09-25

Terminology

• Contrastive Learning — 25× in this paper · explained in 5 episodes
• Alignment — 8× in this paper · explained in 1 episode
• Transformer — 8× in this paper · explained in 2 episodes
• Embeddings — 6× in this paper · explained in 2 episodes
• AUC — 3× in this paper · explained in 2 episodes
• Benchmark — 3× in this paper · explained in 2 episodes
• Downstream Tasks — 2× in this paper · explained in 2 episodes
• Grounding — 2× in this paper · explained in 3 episodes
• Accuracy — 1× in this paper · explained in 1 episode
• AdamW Optimizer — 1× in this paper · explained in 1 episode
• Consistency — 1× in this paper · explained in 3 episodes
• Linear Probing — 1× in this paper · explained in 2 episodes
• Pairwise Comparisons — 1× in this paper · explained in 2 episodes
• Representation Learning — 1× in this paper · explained in 2 episodes
• Self-Supervised Learning — 1× in this paper · explained in 7 episodes
• Semantic Understanding — 1× in this paper · explained in 2 episodes

Sources

• A Study of Autoregressive Decoders for Multi-Tasking in Computer Vision
• CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning
• Chest ImaGenome Dataset for Clinical Reasoning

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