Temporal Self-Ensembling Teacher for Semi-Supervised Object Detection

Understand

This paper focuses on Semi-Supervised Object Detection (SSOD).

• Knowledge Distillation (KD) has been widely used for semi-supervised image classification.
• However, adapting these methods for SSOD has the following obstacles.
• (1) The teacher model serves a dual role as a teacher and a student, such that the teacher predictions on unlabeled images may be very close to those of student, which limits the upper-bound of the student.