caoyunkang/GroundedSAM-zero-shot-anomaly-detection

Official implementation of "Segment Any Anomaly without Training via Hybrid Prompt Regularization (SAA+)".

Jupyter NotebookPythonOtherfoundationzero-shotanomaly-detection
This is stars and forks stats for /caoyunkang/GroundedSAM-zero-shot-anomaly-detection repository. As of 28 Apr, 2024 this repository has 525 stars and 53 forks.

Segment Any Anomaly This repository contains the official implementation of Segment Any Anomaly without Training via Hybrid Prompt Regularization, SAA+. SAA+ aims to segment any anomaly without the need for training. We achieve this by adapting existing foundation models, namely Grounding DINO and Segment Anything, with hybrid prompt regularization. 🔥What's New We have added a Huggingface demo. Enjoy it~ We have updated the colab demo. Enjoy it~ We have updated this repository for SAA+. We have published...
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