SSDA-YOLO: Semi-supervised domain adaptive YOLO for cross-domain object detection-Reference-Cited by-同舟云学术

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SSDA-YOLO: Semi-supervised domain adaptive YOLO for cross-domain object detection

Published:2023-03 Issue: Volume:229 Page:103649
ISSN:1077-3142
Container-title:Computer Vision and Image Understanding
language:en
Short-container-title:Computer Vision and Image Understanding

Author:

Zhou Huayi,Jiang Fei,Lu Hongtao

Funder

National Natural Science Foundation of China

Science and Technology Commission of Shanghai Municipality

Publisher

Elsevier BV

Subject

Computer Vision and Pattern Recognition,Signal Processing,Software

Reference67 articles.

1. Understanding robustness of transformers for image classification;Bhojanapalli,2021

2. Yolov4: Optimal speed and accuracy of object detection;Bochkovskiy,2020

3. Exploring object relation in mean teacher for cross-domain detection;Cai,2019

4. End-to-end object detection with transformers;Carion,2020

5. Learning domain adaptive object detection with probabilistic teacher;Chen,2022

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