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Research questionHow can semantic segmentation detect and group unseen regions while preserving known-class accuracy without extra supervision?Closed-world segmentation systems tend to assign unseen content to familiar classes with high confidence. This makes it difficult to identify novel regions while retaining reliable pixel-level predictions for known categories.
AI
Computer Vision
Image & Video Processing
Machine Learning
Research Paper
Latest papersRecent research connected to this question, newest first.Open-World Semantic Segmentation with Sensitivity ModelingApplies to open-world semantic segmentation using an encoder-decoder vision system. The reported evidence comes from Cityscapes and BDD-Anomaly, covering anomaly segmentation, novel-class discovery, and closed-set accuracy.research paper · Sep 2, 2026
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