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Poster Session III

Object Detection for Unsupervised Domain Adaptation with Pseudo labeling

원문정보

Joonhwan Han, Wonjun Hwang

한국차세대컴퓨팅학회 한국차세대컴퓨팅학회 학술대회 The 7th International Conference on Next Generation Computing 2021 2021.11 pp.326-327
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초록

영어

Unsupervised Domain Adaptation of object detection can prevent performance degradation for new environment which does not include annotation We improved the performance by applying Pseudo label.

목차

Abstract
I. INTRODUCTION
II. RELATED WORK
A. Unsupervised Domain Adaptation
B. Pseudo Label
III. METHOD
A. Loss for pseudo label
B. Discriminator
IV. EXPERIMENTS
A. Implementation Details
B. Result
V. CONCULUSION
ACKNOWLEDGMENT
REFERENCES

키워드

저자정보

  • Joonhwan Han Department of Artificial Intelligence Ajou Univ.
  • Wonjun Hwang Department of Artificial Intelligence Ajou Univ.

참고문헌

자료제공 : 네이버학술정보

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