1 INTRODUCTION

2 DATASETS

3 LEARNING WITHIN THE STEREO PIPELINE

4 END-TO-END DEEP LEARNING

5 CONFIDENCE ESTIMATION

6 DOMAIN-SHIFT: CHALLENGES AND SOLUTIONS

7 MONOCULAR DEPTH ESTIMATION THROUGH STEREO SUPERVISION

8 DISCUSSION

9 CONCLUSION