之前的单模态自监督学习,无论是单模态的对比学习,如MOCO, 还是单模态的掩码学习(如MAE), 都只能做到视觉特征,因此很难做zero-shot的迁移。 1. clip的整体结构 图1. clip对比学习 图2. zero shot推理过程 2. clip的训练loss的理解 伪代码如下: 图3. clip的核心伪代码 loss 代码如下: defcal_clip_loss(im...
CLIP的基本算法原理相对比较简单,为了对image和text建立联系,首先分别对image和text进行特征提取,image特征提取的backbone可以是resnet系列模型也可以是VIT系列模型,text特征提取目前一般采用bert模型,特征提取之后,由于做了normalize,直接相乘来计算余弦距离,同一pair对的结果趋近于1,不同pair对的结果趋近于0,因为就可以采用...
Official implementation for AnomalyCLIP (ICLR 2024) - AnomalyCLIP/loss.py at main · zqhang/AnomalyCLIP
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The loss-preventing paper clip is characterized in that a spherical upper clip ball is disposed at one end of the upper rod, a spherical lower clip ball is disposed at one end of the lower rod, the upper clip ball is movably connected with the lower clip ball, a U-shaped elastic clip...
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Because there is no product loss was the use of CLIP $ 1611, specific annex; 翻译结果4复制译文编辑译文朗读译文返回顶部 Because there is no use CLIP cause the loss of $1611, see annex; 翻译结果5复制译文编辑译文朗读译文返回顶部 Because has not used CLIP to create the product the loss is ...