MOB LEC7 Semantic Segmentation

Problem Formulation

pixel-level prediction

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Challenge of Semantic Segmentation

General vision challenges: occlusion, truncation, scale and illumination changes

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Challenges specific to segmentation: smooth boundaries are hard to obtain due to the intrinsic ambiguity and resolution limitation in the image space.

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Segmentation with DNN

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Semantic Segmentation for Scene Understanding

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RANSAC algorithm

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boundaries

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Additional material

True Positive, False Positive, False Negative

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individual object

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help object detection

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Supplementary Material

1. SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation.
2. Hough Transform Line Detection.
3. The Complete Guide to Panoptic Segmentation
4. Mask R-CNN (optional)

Origin: Dr. Chris Lu (Homepage) Translate + Edit: YangSier (Homepage)