NCA-GENM Exam Dumps | You are fine-tuning a pre-trained multimodal model for a visual question answering (VQA) task. You notice

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Question 177/192

You are fine-tuning a pre-trained multimodal model for a visual question answering (VQA) task. You notice that the model performs well on common questions but struggles with questions requiring reasoning about object relationships (e.g., 'Is the object to the left of the table bigger than the one on the table?'). What data augmentation technique would MOST likely improve performance on these challenging questions?

A. Randomly cropping the images.

B. Adding Gaussian noise to the images.

C. Replacing objects in the images with other objects.

D. Generating synthetic images with varying object arrangements and relationships, paired with corresponding questions and answers.

E. Rotating the images.

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Question 177/192

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