Choose the correct ones among the statements given below. You're expected to mark as many as you can. While assessing the statements, I recommend you not to be too picky but to focus on the general idea. The region proposal network of Faster RCNN can create many false positives which can be filtered out to some extent using non-max suppression. O Mask RCNN addresses the instance segmentation problem as well as the object detection problem. Fast RCNN is faster than the first RCNN version mainly because it avoids the use of selective search method to generate region proposals. OTwo-stage object detectors (e.g. Faster RCNN) are known to be slower but more accurate compared to single-stage detectors such as YOLO, SSD and Retina. Faster RCNN is faster than Fast RCNN mainly because it projects the region proposals onto the feature maps at some intermediate layer of a CNN model used as backbone.

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
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Choose the correct ones among the statements given below. You're expected to mark as many as you can.
While assessing the statements, I recommend you not to be too picky but to focus on the general idea.
The region proposal network of Faster RCNN can create many false positives which can be filtered out to some extent using non-max suppression.
Mask RCNN addresses the instance segmentation problem as well as the object detection problem.
Fast RCNN is faster than the first RCNN version mainly because it avoids the use of selective search method to generate region proposals.
Two-stage object detectors (e.g. Faster RCNN) are known to be slower but more accurate compared to single-stage detectors such as YOLO, SSD and Retina.
Faster RCNN is faster than Fast RCNN mainly because it projects the region proposals onto the feature maps at some intermediate layer of a CNN model used as backbone.
Transcribed Image Text:Choose the correct ones among the statements given below. You're expected to mark as many as you can. While assessing the statements, I recommend you not to be too picky but to focus on the general idea. The region proposal network of Faster RCNN can create many false positives which can be filtered out to some extent using non-max suppression. Mask RCNN addresses the instance segmentation problem as well as the object detection problem. Fast RCNN is faster than the first RCNN version mainly because it avoids the use of selective search method to generate region proposals. Two-stage object detectors (e.g. Faster RCNN) are known to be slower but more accurate compared to single-stage detectors such as YOLO, SSD and Retina. Faster RCNN is faster than Fast RCNN mainly because it projects the region proposals onto the feature maps at some intermediate layer of a CNN model used as backbone.
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