yao yongqiang
yao yongqiang
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Bridging the gap between anchor-based and anchor-free detection via adaptive training sample selection
S Zhang, C Chi, Y Yao, Z Lei, SZ Li
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
Equalized focal loss for dense long-tailed object detection
B Li, Y Yao, J Tan, G Zhang, F Yu, J Lu, Y Luo
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
Cross-dataset training for class increasing object detection
Y Yao, Y Wang, Y Guo, J Lin, H Qin, J Yan
arXiv preprint arXiv:2001.04621, 2020
The equalization losses: Gradient-driven training for long-tailed object recognition
J Tan, B Li, X Lu, Y Yao, F Yu, T He, W Ouyang
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023
Similarity-and Quality-Guided Relation Learning for Joint Detection and Tracking
W Feng, L Bai, Y Yao, W Gan, W Wu, W Ouyang
IEEE Transactions on Multimedia, 2023
Towards frame rate agnostic multi-object tracking
W Feng, L Bai, Y Yao, F Yu, W Ouyang
International Journal of Computer Vision, 1-20, 2023
Dense receptive field for object detection
Y Yao, Y Dong, Z Huang, H Bai
2018 24th International Conference on Pattern Recognition (ICPR), 1815-1820, 2018
Improving Long-tailed Object Detection with Image-Level Supervision by Multi-Task Collaborative Learning
B Li, Y Yao, J Tan, X Lu, F Yu, Y Luo, J Lu
arXiv preprint arXiv:2210.05568, 2022
Rectify representation bias in vision-language models for long-tailed recognition
B Li, Y Yao, J Tan, R Gong, J Lu, Y Luo
Neural Networks 172, 106134, 2024
SysNoise: Exploring and Benchmarking Training-Deployment System Inconsistency
Y Wang, Y Li, R Gong, A Liu, Y Wang, J Hu, Y Yao, T Xiaotian, F Yu, X Liu, ...
MLSys | 2023, 0
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