Custom training data where the answer is sentence about openvqa HOT 3 CLOSED

Currently, we do not support such generation-based VQA models since the three benchmark datasets we provided have short answers and are usually regarded as a classification problem.

Since this may result in a huge framework modification, we do not have such a plan to implement it now. If you want to do that, you may need to do this by yourself. Otherwise, can you preprocess the answers in your dataset to short ones and use the classification framework we provided?

from openvqa.

Currently, we do not support such generation-based VQA models since the three benchmark datasets we provided have short answers and are usually regarded as a classification problem.

Since this may result in a huge framework modification, we do not have such a plan to implement it now. If you want to do that, you may need to do this by yourself. Otherwise, can you preprocess the answers in your dataset to short ones and use the classification framework we provided?

Hey,
By short you mean one word answer ?

from openvqa.

Not exactly. The answers can be longer than one word, e.g., blue and while or dark blue. But we still regard it as a classification problem by using the high-frequency answers (e.g., occur 8 times in the training set. ) as the answer vocabulary.

from openvqa.