CORE: Contrast-and-Reflect for Self-Supervised Prompt Optimization in Anomaly Synthesis

arXiv:2610.19610 · cs.CV · Submitted 2026-10-14 · Read on arXiv

cs.CV

Submitted: 2026-10-14

Updated: 2026-10-14

Comments: 9 pages, 4 figures

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Core — 1× in this paper · explained in 2 episodes

Sources

• Emerging Properties in Unified Multimodal Pretraining
• GPT-4o System Card
• Myriad: Large Multimodal Model by Applying Vision Experts for Industrial Anomaly Detection
• Seedream 4.0: Toward Next-generation Multimodal Image Generation
• Gemini: A Family of Highly Capable Multimodal Models
• OmniGen2: Towards Instruction-Aligned Multimodal Generation

Related papers

• Loss Knows Best: Detecting Annotation Errors in Videos via Loss Trajectories
• AnchorWeave: World-Consistent Video Generation with Retrieved Local Spatial Memories
• Benchmarking the Robustness of Foundation Models for Mammography under Domain Shift
• MambaX-Net: Dual-Input Mamba-Enhanced Cross-Attention Network for Longitudinal MRI Segmentation
• TeleOCR: Navigating Document Parsing Across Digital and Camera-Captured Documents
• A Survey on Efficient Vision-Language-Action Models