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Abstract: Recently, generative adversarial networks (GAN) have made remarkable progress, particularly with the advent of Contrastive Language-Image Pretraining (CLIP), which take image and text into a ...

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Anomaly detection (AD) identifies outliers for applications like defect and lesion detection. While CLIP shows promise for zero-shot AD tasks due to its strong generalization capabilities, its ...

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Model cards with additional model specific details can be found on the Hugging Face Hub under the OpenCLIP library tag: https://huggingface.co/models?library=open ...

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Abstract: This paper presents a CLIP-based unsupervised learning method for annotation-free multi-label image classification, including three stages: initialization, training, and inference. At the ...