Deep Learning Practice · End Term · 31 Aug 2025 · May 2025 term · Set QDB3

Question 10: Which of the following are valid advantages of YOLO comp…

Question 10

+5 marksOne or more correct options

Which of the following are valid advantages of YOLO compared to Fast R-CNN or Faster R-CNN?

Select all that apply.

A
YOLO is faster at inference time because it predicts bounding boxes and class probabilities in a single pass.
B
YOLO is fully end-to-end trainable and does not rely on external region proposal mechanisms.
C
YOLO achieves higher recall than Faster R-CNN on all types of objects, especially small and overlapping ones.
D
YOLO formulates detection as a combination of regression (for bounding box coordinates and objectness score) and classification (for discrete object categories).
E
YOLO uses multi-scale feature fusion to improve detection of small objects.
F
YOLO’s architecture allows it to be deployed more easily on real-time and edge devices due to its compactness.

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Correct answers

A
YOLO is faster at inference time because it predicts bounding boxes and class probabilities in a single pass.
B
YOLO is fully end-to-end trainable and does not rely on external region proposal mechanisms.
D
YOLO formulates detection as a combination of regression (for bounding box coordinates and objectness score) and classification (for discrete object categories).
F
YOLO’s architecture allows it to be deployed more easily on real-time and edge devices due to its compactness.

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Question 10 of 22 in the IIT Madras BS Deep Learning Practice (Deep Learning Practice) End Term paper sat on 31 Aug 2025, in the May 2025 term (IIT M DEGREE AN EXAM QDB3 31 Aug 2025). It carries 5 marks.

Question 10: Which of the following are valid advantages of YOLO comp…

Question 10

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