CNN CNN - Convolutional Neural Networks Semantic Segmentation Questions and Answers 1

Question 1

What is the goal of semantic segmentation in computer vision?

Accepted Answer

Assigning a class label to every pixel in an image

Answer

Semantic segmentation classifies each pixel into a predefined category, producing a dense prediction map that delineates different regions of the image.

Question 2

What key innovation did Fully Convolutional Networks (FCN) introduce for semantic segmentation?

Accepted Answer

Replacing fully connected layers with convolutional layers to enable end-to-end pixel-wise prediction

Answer

FCN replaced the fully connected layers of classification networks with convolutional layers, allowing the network to accept arbitrary-sized inputs and produce spatial output maps.

Question 3

What architecture is U-Net primarily designed for, and what is its signature structural feature?

Accepted Answer

Biomedical image segmentation with a symmetric encoder-decoder and skip connections

Answer

U-Net is a symmetric encoder-decoder network with skip connections that directly concatenate feature maps from the encoder to the corresponding decoder level, preserving fine-grained spatial detail.

Question 4

What is the role of skip connections in the U-Net architecture?

Accepted Answer

They pass high-resolution feature maps from the encoder to the decoder to recover spatial detail lost during downsampling

Answer

Skip connections concatenate encoder feature maps with decoder feature maps at matching resolutions, allowing the decoder to recover fine spatial details that are lost during pooling.

Question 5

What is the fundamental difference between semantic segmentation and instance segmentation?

Accepted Answer

Semantic segmentation assigns the same label to all pixels of a class, while instance segmentation distinguishes individual object instances

Answer

In semantic segmentation all pixels of the same class share one label, whereas instance segmentation distinguishes separate instances so two cars get different masks.

CNN - Convolutional Neural Networks Practice Test

CNN - Convolutional Neural Networks Practice Test

CNN CNN - Convolutional Neural Networks Semantic Segmentation Questions and Answers 1