shyam671/Mask2Anomaly-Unmasking-Anomalies-in-Road-Scene-Segmentation
[ICCV'23 Oral] Unmasking Anomalies in Road-Scene Segmentation
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.
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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.
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Language
Python
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Last pushed
Apr 28, 2024
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