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

Question 16: What is a key feature of focal loss that distinguishes i…

Question 16

+2 marksOne correct option

What is a key feature of focal loss that distinguishes it from traditional loss functions in object detection?

  1. A

    Focal loss introduces additional regularization terms to penalize large weights in the neural network.

  2. B

    Focal loss dynamically adjusts the loss weights based on the difficulty of each training example.

  3. C

    Focal loss computes the loss based on the Euclidean distance between predicted and groundtruth bounding boxes.

  4. D

    Focal loss prioritizes minimizing the overall loss across all classes equally.

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Correct answer

  • B

    Focal loss dynamically adjusts the loss weights based on the difficulty of each training example.

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Question 16 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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