5 citations · 9 across the 3 of their papers we have counts for
4 papers
Bootstrap Your Object Detector via Mixed Training
Mengde Xu, Zheng Zhang, Fangyun Wei +5
We introduce MixTraining, a new training paradigm for object detection that can improve the performance of existing detectors for free. MixTraining enhances data augmentation by ut…
End-to-End Semi-Supervised Object Detection with Soft Teacher
Mengde Xu, Zheng Zhang, Han Hu +5
This paper presents an end-to-end semi-supervised object detection approach, in contrast to previous more complex multi-stage methods. The end-to-end training gradually improves ps…
Progressive and Aligned Pose Attention Transfer for Person Image Generation
Zhen Zhu, Tengteng Huang, Mengde Xu +3
This paper proposes a new generative adversarial network for pose transfer, i.e., transferring the pose of a given person to a target pose. We design a progressive generator which…
Asymmetric Non-local Neural Networks for Semantic Segmentation
Zhen Zhu, Mengde Xu, Song Bai +2
The non-local module works as a particularly useful technique for semantic segmentation while criticized for its prohibitive computation and GPU memory occupation. In this paper, w…