shyam671/Mask2Anomaly-Unmasking-Anomalies-in-Road-Scene-Segmentation

[ICCV'23 Oral] Unmasking Anomalies in Road-Scene Segmentation

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Emerging

This helps autonomous vehicle engineers and researchers detect unexpected or unusual objects on the road that their self-driving car models haven't been trained to recognize. You provide images or video footage of road scenes, and the system identifies and outlines objects that are 'anomalies' – things outside of its normal understanding. This allows for safer operation and more robust system development.

No commits in the last 6 months.

Use this if you need to reliably identify unknown or out-of-distribution objects in road scene images for autonomous driving systems.

Not ideal if you are looking for a general-purpose anomaly detection tool for non-road-scene imagery or a system that explains why an object is anomalous.

autonomous-driving road-safety perception-systems unforeseen-obstacle-detection computer-vision-for-automotive
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 8 / 25
Maturity 8 / 25
Community 15 / 25

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61

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Language

Python

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Last pushed

Apr 28, 2024

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