milvlg / rosita Goto Github PK
View Code? Open in Web Editor NEWROSITA: Enhancing Vision-and-Language Semantic Alignments via Cross- and Intra-modal Knowledge Integration
License: Apache License 2.0
ROSITA: Enhancing Vision-and-Language Semantic Alignments via Cross- and Intra-modal Knowledge Integration
License: Apache License 2.0
thanks a lot for your great work!
I can't find a link to this content on the page. It is not clear how it differs from the uncased_L-12_H-768_A model.
I can't find a link to this content on the page. It is not clear how it differs from the uncased_L-12_H-768_A model.
problem solved.
谢谢!
Hi, Your article has a great idea, thank you for sharing it, and thank you for your open source code. It's really great and helpful.
I ran the finetuning code with "scripts/train-vqa-vqav2.sh", for "train+trainvalsplit of VQAv2" and I achieved the accuracy successfully.
But after that when I ran the code with "scripts/test-vqa-vqav2.sh" for "evaluation on the test split" it will run ok but doesn't show any result of accuracy as it was in "train-vqa".
Could you please help me with how can I see the result of accuracy for the test split too? I'm a beginner in python and don't know how to do it.
Thanks.
There is a naming error in the provided vqa2.0 files in datasets.md.
The file names of the minival2014 files v2_mscoco_minival2014_annotations.json
and v2_mscoco_minival2014_questions.json
should be interchanged.
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