Home ›
Entities
› academia
› Surgical-VQLA++: Adversarial contrastive learning for calibrated robust visual question-localized answering in robotic surgery
Surgical-VQLA++: Adversarial contrastive learning for calibrated robust visual question-localized answering in robotic surgery
Research article (Information Fusion, 2024) · cited 22× · AI/ML
Surgical-VQLA++: Adversarial contrastive learning for calibrated robust visual question-localized answering in robotic surgery
Summary
Surgical-VQLA++: Adversarial contrastive learning for calibrated robust visual question-localized answering in robotic surgery is a scholarly article[1].
Key Facts
Surgical-VQLA++: Adversarial contrastive learning for calibrated robust visual question-localized answering in robotic surgery's instance of is recorded as scholarly article[2].
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Surgical-VQLA++: Adversarial contrastive learning for calibrated robust visual question-localized answering in robotic surgery. Retrieved May 24, 2026, from https://4ort.xyz/entity/surgical-vqla-adversarial-contrastive-learning-for-calibrated-robust-visual-question-localized-answering-in-robotic-surg