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Pages
Posts
NeurIPS 2024 - 云端目标检测大模型自适应首篇！
Published:
基于云端目标检测大模型自适应的API，迁移其到本地检测器
projects
Source-Free Object Detection by Learning to Overlook Domain Style
Published:
We propose a novel learning to overlook domain style strategy for SFOD.
Cloud Object Detector Adaptation by Integrating Different Source Knowledge
Published:
We propose to explore an interesting and promising problem CODA.
publications
Source-Style Transferred Mean Teacher for Source-data Free Object Detection
Published in *Proceedings of the 3rd ACM International Conference on Multimedia in Asia* (**ACM MM Asia**), 2021
Source-Free Object Detection by Learning to Overlook Domain Style
Published in *Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition* (**CVPR**), 2022
We propose a novel learning to overlook domain style strategy for SFOD.
Class Discriminative Adversarial Learning for Unsupervised Domain Adaptation
Published in *Proceedings of the 30th ACM International Conference on Multimedia* (**ACM MM**), 2022
Adaptive Mutual Learning for Unsupervised Domain Adaptation
Published in *IEEE Transactions on Circuits and Systems for Video Technology* (**TCSVT**), 2023
Rethinking Weak-to-Strong Augmentation in Source-Free Domain Adaptive Object Detection
Published in *arXiv preprint*, 2024
Adversarial Experts Model for Black-box Domain Adaptation
Published in *Proceedings of the 32nd ACM International Conference on Multimedia* (**ACM MM**), 2024
Cloud Object Detector Adaptation by Integrating Different Source Knowledge
Published in *The Thirty-eighth Annual Conference on Neural Information Processing Systems* (**NeurIPS**), 2024
We propose to explore an interesting and promising problem CODA.