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View Code? Open in Web Editor NEWCode for UniS-MMC: Multimodal Classification via Unimodality-supervised Multimodal Contrastive Learning (ACL 2023)
License: MIT License
Code for UniS-MMC: Multimodal Classification via Unimodality-supervised Multimodal Contrastive Learning (ACL 2023)
License: MIT License
hello
Can you provide Figure 4:tsne code for learning?
Looking forward to your reply
Hello, dataloader.py part, where is the file in the /text_txt/ folder in this code text_path = self.args.data_dir + '/texts_txt/' + annotation + '/' + id.replace(".jpg", ".txt").
In your paper, the accuracy of the food data set reached 94%. What version of bert and vit did you use? When I reproduced your code, I found that you only provided the base version.
Hello, I would like to ask how to use the train.csv and test.csv you provided. Where should I put it? I put it in the Food101 directory at the specified location according to the code, and run python main.py --seeds 4.
Then the following error occurred;
FileNotFoundError: [Errno 2] No such file or directory: 'Path/To/Dataset_Home_Directory\Food101/texts_txt/lasagna/lasagna_666.txt'
Then I downloaded the data set and didn't see a similar file.
Could you please take the time to call me back? Thank you very much.
麻烦想问下这个文件夹里的预训练模型是要自己下载嘛,代码里没有直接调用?复现的时候报错Can't load tokenizer for 'Path/To/Pretrained/bert_base_uncased/'
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