HSF 模块:为提高图像级别的异常检测性能,AdaCLIP 引入了 HSF(Hierarchical Semantic Fusion)模块。该模块用于从多个层级中提取区域级异常信息,通过聚合不同层次的异常信息,增强了对图像中异常区域的检测能力。 预训练模型的调整:AdaCLIP 采用了预训练的 CLIP 模型,并对其进行了适配。CLIP 模型原本用于图像和文本的嵌入...
$ conda create -n adaclip python=3.7 -y $ conda activate adaclip $ conda install -y pytorch==1.12.1 torchvision==0.13.1 torchaudio==0.12.1 cudatoolkit=11.6 -c pytorch -c conda-forge $ pip install -r requirements.txt Updatecudatoolkit=11.6with the appropriate CUDA version on your machine...
AdaCLIP incorporates learnable prompts into CLIP and optimizes them through training on auxiliary annotated anomaly detection data. Two types of learnable prompts are proposed: static and dynamic. Static prompts are shared across all images, serving to preliminarily adapt CLIP for ZSAD. In contrast,...
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CLIP(Contrastive Language-Image Pre-training)模型作为连接视觉与文本理解的桥梁,在多模态学习领域占据着举足轻重的地位。CoreNet通过集成高效的训练策略,使得CLIP模型的训练变得更加直观且高效。首先,利用CoreNet内置的大规模预训练数据集,用户...
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CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image - shonenada/CLIP
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zero-shot anomaly detection MVTec AD AdaCLIP Segmentation AUROC 88.7 # 3 Compare Detection AUROC 89.2 # 4 Compare Anomaly Detection MVTec AD AdaCLIP Detection AUROC 89.2 # 109 Compare Segmentation AUROC 88.7 # 103 Compare Anomaly Detection VisA AdaCLIP Detection AUROC 85.8 # 30 Com...