Problem Formulation
pixel-level prediction
Challenge of Semantic Segmentation
General vision challenges: occlusion, truncation, scale and illumination changes
Challenges specific to segmentation: smooth boundaries are hard to obtain due to the intrinsic ambiguity and resolution limitation in the image space.
Segmentation with DNN
Semantic Segmentation for Scene Understanding
RANSAC algorithm
boundaries
Additional material
True Positive, False Positive, False Negative
individual object
help object detection
Supplementary Material
- SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation.
- Hough Transform Line Detection.
- The Complete Guide to Panoptic Segmentation
- Mask R-CNN (optional)
Origin: Dr. Chris Lu (Homepage)
Translate + Edit: YangSier (Homepage)
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