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Implementation for our IJCAI-21 paper --- AdaVQA: Overcoming Language Priors with Adapted Margin Loss.

Python 99.82% Shell 0.18%
language-prior vqacpv2

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adavqa's Issues

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Thanks for your excellent work! I'm a little confused about how to get the 2-D embedding features of the answers, i.e., the results in Figure 1 in the original paper. Would you mind sharing the code for the visualization part?

The score of dataset v2.

Hello, I find that the method proposed in the paper performs well on the cp-v2 dataset but shows poor results on the v2 dataset (with a score around 26 when not modifying hyperparameters). Should I consider adjusting hyperparameters specifically for these two datasets?What is the best score you achieved on the v2 dataset?

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