In this piece, we’ll take a plunge into the world of image segmentation using deep learning. We’ll talk about:
what image segmentation is and the two main types of image segmentation
Image segmentation architectures
Loss functions used in image segmentation
Frameworks that you can use for your image segmentation projects
Let’s dive in.
What is Image Segmentation?
Image Segmentation Architectures
U-Net
FastFCN — Fast Fully-connected network
Gated-SCNN
Mask R-CNN
Image Segmentation Loss functions
Focal Loss
Dice loss
Intersection over Union (IoU)-balanced Loss
Boundary loss
Weighted cross-entropy
Lovász-Softmax loss
Image Segmentation Datasets
Common Objects in COntext — Coco Dataset
PASCAL Visual Object Classes (PASCAL VOC)
The Cityscapes Dataset
The Cambridge-driving Labeled Video Database — CamVid
Image Segmentation Frameworks
Final Thoughts
链接地址:https://towardsdatascience.com/image-segmentation-in-2020-756b77fa88fc