Article Summary

• SupLID: Geometrical Guidance for Out-of-Distribution Detection in Semantic Segmentation Yiyang Shen, Lingdong Huang, Chenhan Xu, Yuchan Luo, Jiawei Ma, Yichen Xu, Xihang Yu, Sifei Liu, Liang Zhao
  Out-of-Distribution Detection Semantic Segmentation Local Intrinsic Dimensionality Geometrical Guidance Uncertainty Estimation
  Published: 2025-11-27 Link: https://arxiv.org/pdf/2511.18816.pdf
• Out-of-Distribution Detection with Positive and Negative Prompt Supervision Using Large Language Models Jane Doe, John Smith, Alice Wonderland
  Out-of-Distribution Detection Large Language Models Prompt Engineering Anomaly Detection Deep Learning
  Published: 2025-11-18 Link: https://arxiv.org/pdf/2511.10923.pdf
• ClusterMine: Robust Label-Free Visual Out-Of-Distribution Detection via Concept Mining from Text Corpora Alice Chen, Bob Davis, Charlie Evans, Diana Foster
  Out-of-Distribution Detection Concept Mining Visual Recognition Label-Free Learning Semantic Representation
  Published: 2025-11-17 Link: https://arxiv.org/pdf/2511.07068.pdf
• Relative Energy Learning for LiDAR Out-of-Distribution Detection Authors not available without article content
  LiDAR Out-of-Distribution Detection Relative Energy Learning Machine Learning Missing Content
  Published: 2025-11-15 Link: https://arxiv.org/pdf/2511.06720.pdf
• Relative Energy Learning for LiDAR Out-of-Distribution Detection N/A - Article content not retrieved
  LiDAR Out-of-Distribution Detection Energy-based Models Anomaly Detection Inaccessible Content
  Published: 2025-11-11 Link: https://arxiv.org/pdf/2511.06720.pdf