Topology-Preserving Data Augmentation for Ring-Type Polygon Annotations

📰 ArXiv cs.AI

Learn to preserve topology in ring-type polygon annotations using data augmentation techniques for improved segmentation workflows

advanced Published 7 May 2026

Action Steps

Apply topology-preserving data augmentation to ring-type polygon annotations using geometric transformations
Use cropping or clipping techniques that account for bridge vertices in the polygon chain
Validate the augmented annotations to ensure semantic region integrity
Implement a workflow that checks for and corrects topological errors in the augmented data
Evaluate the performance of the topology-preserving data augmentation technique on a benchmark dataset

Who Needs to Know This

Computer vision engineers and researchers working on segmentation tasks, especially in structured domains like architectural floorplan analysis, can benefit from this technique to ensure valid polygon annotations after data augmentation

Key Insight

💡 Topology-preserving data augmentation is crucial for maintaining valid polygon annotations in structured domains, especially when dealing with interior voids and bridge vertices

Key Takeaways

Learn to preserve topology in ring-type polygon annotations using data augmentation techniques for improved segmentation workflows

Full Article

Title: Topology-Preserving Data Augmentation for Ring-Type Polygon Annotations

Abstract:
arXiv:2603.14764v3 Announce Type: replace-cross Abstract: Geometric data augmentation is widely used in segmentation workflows, but polygon annotations are often assumed to remain valid after transformation. This assumption can fail in structured domains such as architectural floorplan analysis, where a region may contain an interior void encoded as part of a single ordered polygon chain. Cropping or clipping can remove bridge vertices in this chain, causing one semantic region to split into dis

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