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Zero-shot capabilities on ImageNet #119
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Hi @kimihailv , we haven't evaluated this result, but yes the zero-shot performance is largely correlated with the training dataset size. |
Zero-shot capabilities on other datasets (such as dtd, food101, caltech101, sun397 & etc) is much lower as compared to CLIP, MetaCLIP and open_clip methods. |
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Hello, I evaluated ALBEF 14M on ImageNetV2 classification task and it showed relatively low accuracy: top1 – 32.9, top5 - 60.7.
How do you think what reasons of such results? Much smaller training dataset compared to CLIP?
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