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View Code? Open in Web Editor NEWData and code for NeurIPS 2021 Paper "IconQA: A New Benchmark for Abstract Diagram Understanding and Visual Language Reasoning".
Data and code for NeurIPS 2021 Paper "IconQA: A New Benchmark for Abstract Diagram Understanding and Visual Language Reasoning".
Dear authors,
I have some trouble reproducing the result in the paper using the training code.
I followed the instructions in this repository and trained 3 models for 3 IconQA subtasks. I used the default training arguments. However, I am not able to reproduce the result in the paper.
My reproduce result:
The result from the paper:
Could you provide the training arguments that I could use to reproduce the result in the paper?
Thank you very much.
Best regards.
I would like to use your pre-trained Resnet model on the Icon645 dataset for classification.
Using your pre-trained Icon645 Resnet model, I was able to output the 377-dimension softmax vector for classification (for 377 classes).
I would like to know the mapping from the class ID to the class name in your Icon645 Resnet model.
For example:
1 --> apple
2 --> acorn
...
Is this mapping available?
Thank you very much.
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