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https://github.com/FreddeFrallan/Multilingual-CLIP
should be possible to add it simularly to https://github.com/LAION-AI/CLIP_benchmark/blob/main/clip_benchmark/models/japanese_clip.py
do you want to give it a try @FreddeFrallan ?
I'm still quite curious on how mse aligned mclip compared with the contrastive one
The text was updated successfully, but these errors were encountered:
I'm on it!
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So results were interestingly quite poor
The mystery of multilingual gap in imagenet top1 zero shot remains
Probably error analysis per class would help
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https://github.com/FreddeFrallan/Multilingual-CLIP
should be possible to add it simularly to https://github.com/LAION-AI/CLIP_benchmark/blob/main/clip_benchmark/models/japanese_clip.py
do you want to give it a try @FreddeFrallan ?
I'm still quite curious on how mse aligned mclip compared with the contrastive one
The text was updated successfully, but these errors were encountered: