Segmentation.
Riferimenti bibliografici
- [Sze22], Secs. 4.3, 6.4
- [Davies18], Ch.11
- [Gon18], Ch.10
Link utili
An experimental Comparison of Min-cut/Max Flow algorithms for Energy Minimization in Vision
Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials (with Supplemental Material)
A simple guide to semantic Segmentation and A 2019 guide to semantic segmentation
Upsampling with Transposed Convolution; Transposed Convolution demystified; Transposed convolutions explained with Excel
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation]
U-Net: Convolutional Networks for Biomedical Image Segmentation
Rethinking Atrous Convolution for Semantic Image Segmentation
ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation
ICNet for Real-Time Semantic Segmentation on High-Resolution Images
DFANet: Deep Feature Aggregation for Real-Time Semantic Segmentation