Deep Learning Quiz chap4

What is the primary objective of image segmentation?

• Locating objects within an image

• Extracting features from an image

• Assigning semantic meaning to different parts of an image

• Dividing an image into meaningful regions

Which architecture is designed for Semantic Segmentation and combines a contracting path with an expansive path?

• LeNet-5

• VGG-Net

• U-Net

• ResNet

What is the purpose of the Pooling layer in CNNs?

• Reduce the size of feature maps

• Increase the number of parameters

• Add more convolutional layers

• Introduce non-linearity

What is the benefit of using Transfer Learning in deep learning models?

• Increases the amount of training time required

• Reduces overfitting in small datasets

• Requires building a model from scratch

• Increases computational expenses

Which deep learning architecture won the ImageNet Large-Scale Visual Recognition Challenge in 2012?

• LeNet-5

• AlexNet

• ResNet

• VGG-Net

What is the main advantage of using Fully Convolutional Networks (FCNs) for semantic segmentation?

• Designed for object detection

• Reduce the number of layers

• Specifically designed for image classification

• Capture context and precise localization

What is the purpose of the Convolution Layer in CNNs?

• Add more pooling layers

• Extract features from data

• Reduce the size of feature maps

• Increase the number of parameters

Which technique involves reusing knowledge acquired from solving one task to enhance performance on a related task?

• Transfer Learning

• Thresholding

• Pooling

• Fine Tuning

What is the main limitation of traditional segmentation methods?

• Dependence on Thresholds

• Limited Feature Representation

• Sensitivity to Noise

• Difficulty in Handling Complex Scenes

What is the purpose of the Skip Connections in CNNs?

• Apply activation functions

• Increase the spatial resolution of feature maps

• Preserve spatial information and fine-grained details

• Downsample the feature maps