most citedLearning Domain Adaptive Object Detection with Probabilistic Teacher

33 citations · 33 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2023

HumanBench: Towards General Human-centric Perception with Projector Assisted Pretraining

Shixiang Tang, Cheng Chen, Qingsong Xie +9

Human-centric perceptions include a variety of vision tasks, which have widespread industrial applications, including surveillance, autonomous driving, and the metaverse. It is des…

cs.CV2023

UniHCP: A Unified Model for Human-Centric Perceptions

Yuanzheng Ci, Yizhou Wang, Meilin Chen +7

Human-centric perceptions (e.g., pose estimation, human parsing, pedestrian detection, person re-identification, etc.) play a key role in industrial applications of visual models.…

cs.CV2023

Saliency Guided Contrastive Learning on Scene Images

Meilin Chen, Yizhou Wang, Shixiang Tang +6

Self-supervised learning holds promise in leveraging large numbers of unlabeled data. However, its success heavily relies on the highly-curated dataset, e.g., ImageNet, which still…

cs.CV2022★ 33 cited

Learning Domain Adaptive Object Detection with Probabilistic Teacher

Meilin Chen, Weijie Chen, Shicai Yang +8

Self-training for unsupervised domain adaptive object detection is a challenging task, of which the performance depends heavily on the quality of pseudo boxes. Despite the promisin…

cs.CV2022

Domain Invariant Masked Autoencoders for Self-supervised Learning from Multi-domains

Haiyang Yang, Meilin Chen, Yizhou Wang +5

Generalizing learned representations across significantly different visual domains is a fundamental yet crucial ability of the human visual system. While recent self-supervised lea…