I. INTRODUCTION

II. OVERVIEW

III. NETWORK ARCHITECTURE AND TRAINING LOSS

IV. FACE PROCESSING FOR TRAINING AND RECOGNITION

V. FACE DATABASES AND EVALUATION PROTOCOLS

VI. DIVERSE RECOGNITION SCENES OF DEEP LEARNING

VII. TECHNICAL CHALLENGES