18 Questions
What is the main purpose of Instance Segmentation?
To segment each instance of the same class separately
What is the contribution of Mask R-CNN according to K. He, G. Gkioxari, P. Dollar, and R. Girshick in ICCV 2017?
Faster R-CNN + FCN on RoIs
What is the difference between RoIPool and RoIAlign?
RoIPool uses nearest neighbor quantization, while RoIAlign uses bilinear interpolation
Which paper received the Best Paper Award at ICCV 2017?
Mask R-CNN by K. He, G. Gkioxari, P. Dollar, and R. Girshick
What does RoI-Align use for quantization?
Bilinear interpolation
What is the key difference between Object Detection and Instance Segmentation?
Segmenting each instance of the same class separately vs. detecting objects in an image
What is the purpose of RoI-Align in computer vision?
To extract fixed-size feature maps from each RoI
What is the main difference between RoI-Align and RoI-Pooling in computer vision?
RoI-Align extracts fixed-size feature maps, while RoI-Pooling downsamples the feature maps
In Mask R-CNN, what is the role of RoIAlign features?
To predict the segmentation mask of each RoI
What was one of the achievements of Mask R-CNN according to the given text?
Winning the Best Paper Award at ICCV 2017
What is an example of a task that can be performed using Mask R-CNN?
Semantic segmentation
What does Mask R-CNN predict for each Region of Interest (RoI)?
The class label, bounding box, and segmentation mask of the RoI
What problem does YOLO aim to solve using its architecture?
Object detection
How is the YOLO architecture different from a traditional object detection approach?
It uses a single convolutional neural network (CNN) to predict bounding boxes and class probabilities
What is the responsibility of each grid cell in YOLO's approach?
Localizing and predicting the class of the object it covers
How many convolutional layers does the YOLO architecture have?
24
What type of task is YOLO specifically designed for?
Object detection
In what form does YOLO predict the bounding box of an object for each grid cell?
[pc, bx, by, bh, bw, c1, c2]
Test your knowledge of instance segmentation and Mask R-CNN with this quiz. Explore topics such as segmenting each instance of the same class separately, using results from object detection, and understanding the concepts of RoIAlign and RoIPool.
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