Soft teacher mmdetection
WebIn this paper, we revisit the pseudo-labeling based Teacher-Student mutual learning framework for semi-supervised object detection and identify that the inconsistency of the … WebOct 17, 2024 · 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 …
Soft teacher mmdetection
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WebEnd-to-End Semi-Supervised Object Detection With Soft Teacher. Mengde Xu, Zheng Zhang, Han Hu, Jianfeng Wang, Lijuan Wang, Fangyun Wei, Xiang Bai, Zicheng Liu; Proceedings of … WebEnd-to-End Semi-Supervised Object Detection with Soft Teacher Mengde Xu* †, Zheng Zhang*, Han Hu, Jianfeng Wang, Lijuan Wang, Fangyun Wei, Xiang Bai, Zicheng Liu ICCV, …
WebI've tried a number of things that I've found in the Issues for this repo and the instructions in the MMDetection custom dataset instructions, but am still seeing strange results in the … WebSep 16, 2024 · End-to-End Semi-Supervised Object Detection with Soft Teacher. By Mengde Xu*, Zheng Zhang*, Han Hu, Jianfeng Wang, Lijuan Wang, Fangyun Wei, Xiang Bai, Zicheng …
Webon MMDetection [1]. Anchors with 5 scales and 3 aspect ratios are used. 2k and 1k region proposals are generated with a non-maximum suppression threshold of 0.7 for train-ing … Web33 papers with code • 6 benchmarks • 1 datasets. Semi-supervised object detection uses both labeled data and unlabeled data for training. It not only reduces the annotation …
WebWe use wandb for visualization, if you don't want to use it, just comment line 273-284 in configs/soft_teacher/base.py. The project should be compatible to the latest version of …
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