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RGB+Depth Anomaly Detection and Segmentation

RGB+Depth Anomaly Detection and Segmentation is based on the methodology of integrating RGB images with depth information to achieve the detection and segmentation of anomalous objects. This task aims to improve detection accuracy and robustness, and it is widely applied in industrial inspection, intelligent surveillance, and autonomous driving, among other fields, making it highly valuable in practical applications.

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RGB+Depth Anomaly Detection and Segmentation | SOTA | HyperAI