Overview
Syllabus
tl;dr / one line summary
Sections
Semantic Segmentation
Key Idea: "convolutional-ization"
Key Idea: Encoder-decoder architecture
Key Idea #1: Convolutionalization with "à trous convolutions"
Key Idea #2: CRF Post-Processing
Key Idea: Multi-Scale Features
Key Idea: Deeper with à trous convolutions
Key Idea: À trous Spatial Pyramid Pooling
DeepLabv3+: Failure Cases
Motivation for Region Mutual Information Loss
Mutual Information: Entropy View
Mutual Information: Probability View
Overall Loss Function
Experimental Setup
Datasets
Results: PASCAL VOC 2012
Ablation Studies: PASCAL VOC 2012
Taught by
UCF CRCV