1 INTRODUCTION

2 FORMULATION OF DIFFERENT LEARNING SCHEMAS

3 COMMON DEEP NETWORK ARCHITECTURES

4 LEARNING VISUAL FEATURES FROM PRETEXT TASKS

5 DATASETS

6 IMAGE FEATURE LEARNING

7 VIDEO FEATURE LEARNING

8 PERFORMANCE COMPARISON

9 FUTURE DIRECTIONS

10 CONCLUSION