Label Assignment Distillation for Object Detection

TL;DR

This paper introduces a novel label assignment distillation method to improve object detection performance by transferring knowledge from teacher to student models.

Contribution

It proposes a new label assignment distillation technique that enhances object detection accuracy over existing methods.

Findings

Significant improvement in detection accuracy on benchmark datasets

Effective knowledge transfer from teacher to student models

Outperforms previous state-of-the-art methods

Abstract

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