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Exam NCA-GENM Topic 1 Question 366 Discussion

Actual exam question for NVIDIA's NCA-GENM exam
Question #: 366
Topic #: 1
A multimodal A1 model is designed to translate sign language videos into text. The model performs well on videos with clear hand gestures and lighting conditions but struggles with videos recorded in low light or with partial hand occlusions. Which of the following strategies would be MOST effective in improving the model's robustness to these challenging conditions?

Suggested Answer: B Vote an answer

Applying image enhancement techniques to the video frames can improve the visibility of hand gestures in low-light conditions and reduce the impact of noise, making the model more robust. Reducing the frame rate or training on a smaller dataset would likely decrease performance. Increasing the text vocabulary or using a simpler text encoder would not directly address the issue of poor video quality.

by Edwiin at Apr 02, 2025, 07:29 PM

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