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Deep Learning for Computer Vision · End Term · 28 Apr 2024 · January 2024 term

Question 15: What is a potential limitation of non-maximum suppressio…

Question 15

+2 marksOne correct option

What is a potential limitation of non-maximum suppression (NMS) algorithms in object detection?

  1. A

    They are computationally expensive and can significantly increase inference time.

  2. B

    They may fail to suppress redundant bounding boxes in cluttered scenes with multiple overlapping objects.

  3. C

    They require extensive hyperparameter tuning to achieve optimal performance across different datasets.

  4. D

    They are highly sensitive to variations in lighting conditions and viewpoints in the input images.

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Correct answer

  • B

    They may fail to suppress redundant bounding boxes in cluttered scenes with multiple overlapping objects.

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Question 15 of 44 in the IIT Madras BS Deep Learning for Computer Vision (Deep Learning for Computer Vision) End Term paper sat on 28 Apr 2024, in the January 2024 term (IIT M DEGREE AN EXAM QDB3 28 Apr 2024). It carries 2 marks.

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