Completed
From Tracking to STEP
Class Central Classrooms beta
YouTube videos curated by Class Central.
Classroom Contents
Segmenting and Tracking Every Pixel
Automatically move to the next video in the Classroom when playback concludes
- 1 Intro
- 2 Overview
- 3 Why Segmentation matters
- 4 Why Tracking matters
- 5 Evolution of Visual Scene Understanding
- 6 From Tracking to STEP
- 7 Contributions
- 8 Existing Datasets
- 9 Annotation Process
- 10 Dataset Comparison (Training Set)
- 11 Tracking the most salient classes
- 12 Track length distribution
- 13 Why a new metric?
- 14 Metric design
- 15 Formal Definition
- 16 Association Quality (AQ)
- 17 Segmentation Quality (SQ) We use Intersection-over-Union (loU) to measure segmentation quality
- 18 Segmentation and Tracking Quality (STO)
- 19 Panoptic-DeepLab
- 20 Extensions to Tracking Single-frame baselines
- 21 Results on KITTI-STEP
- 22 Resources
- 23 Summary
