AnomalyR1: A GRPO-based End-to-end MLLM for Industrial Anomaly Detection

Documenti analoghi

• No Need For Real Anomaly: MLLM Empowered Zero-Shot Video Anomaly Detection
  di: Dai, Zunkai, et al.
  Pubblicazione: (2026)
• Sketch and Refine: Towards Fast and Accurate Lane Detection
  di: Chen, Chao, et al.
  Pubblicazione: (2024)
• EMIT: Enhancing MLLMs for Industrial Anomaly Detection via Difficulty-Aware GRPO
  di: Guan, Wei, et al.
  Pubblicazione: (2025)
• Pure-Pass: Fine-Grained, Adaptive Masking for Dynamic Token-Mixing Routing in Lightweight Image Super-Resolution
  di: Wu, Junyu, et al.
  Pubblicazione: (2025)
• AFR-CLIP: Enhancing Zero-Shot Industrial Anomaly Detection with Stateless-to-Stateful Anomaly Feature Rectification
  di: Yuan, Jingyi, et al.
  Pubblicazione: (2025)