Deep Learning Practice · End Term · 31 Aug 2025 · May 2025 term · Set QDB1

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 performs object classification and localization in a single forward pass, making it faster than two-stage detectors like Fast R-CNN and Faster R-CNN.
B
YOLO does not require region proposal generation, making the entire pipeline fully end-to-end trainable.
C
YOLO achieves higher localization accuracy than Faster R-CNN on small objects due to its coarse grid-based prediction.
D
YOLO treats bounding box coordinates and objectness score as regression outputs, while computing class probabilities through classification.
E
YOLO achieves higher precision by using a large number of anchor boxes per region.
F
YOLO treats object detection as a regression problem, which simplifies the detection pipeline and reduces computational overhead.

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Correct answers

A
YOLO performs object classification and localization in a single forward pass, making it faster than two-stage detectors like Fast R-CNN and Faster R-CNN.
B
YOLO does not require region proposal generation, making the entire pipeline fully end-to-end trainable.
D
YOLO treats bounding box coordinates and objectness score as regression outputs, while computing class probabilities through classification.
F
YOLO treats object detection as a regression problem, which simplifies the detection pipeline and reduces computational overhead.

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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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