Supervised finetuning of a CLIP image encoder with multi-scale features and text prompts detects anomaly objects in steel scrap at 28.6% pixel-level average precision, outperforming tested baselines on a private dataset.
Padim: A patch distribution modeling frame- work for anomaly detection and localization,
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Anomaly Object Segmentation with Vision-Language Models for Steel Scrap Recycling
Supervised finetuning of a CLIP image encoder with multi-scale features and text prompts detects anomaly objects in steel scrap at 28.6% pixel-level average precision, outperforming tested baselines on a private dataset.