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作者提出通过将来自自监督特征提取的局部化先验知识,简单地修改CLIP的最后池化层,在局部改进密集MaskCLIP特征。通过这样做,作者大大提高了MaskCLIP的性能,并生成了平滑的输出。此外,证明了使用的自监督特征属性可以直接从CLIP特征中学习,因此可以通过一次通过CLIP模型获得最佳结果。 CLIP-DINOiser只需要CLIP的一次前向传播...
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西乔Catmus Founder of KALOS.art。设计师,漫画作者。13 人赞同了该文章 目录 收起 AI 艺术创作的第一步,“听懂”人话——CLIP 是什么? 为什么我关注 CLIP Open AI 和 GPT-3 AI 艺术创作的第一步,“听懂”人话——CLIP 是什么? 下面写的都是一些我的个人理解和学习笔记,希望分享出来,让跟我一...
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