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Hello, thank you for your excellent work MixGen and code sharing. I have two questions that I would like to call for your help:
In addition to being used in the pre-training process, is MixGen also used in downstream tasks, such as fine-tuning on the COCO data set for image-text retrieval task.
Considering that the augmentation operation is performed in mini-batch and there involves text concat, will this have an impact on the contrastive learning pre-training objective (as in common, other samples in mini-batch are regarded as negative samples).
The text was updated successfully, but these errors were encountered:
Hello, thank you for your excellent work MixGen and code sharing. I have two questions that I would like to call for your help:
The text was updated successfully, but these errors were encountered: