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An official implementation of CVPR 2022 paper "Label Matching Semi-Supervised Object Detection".

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Following readme construction, I only got AP 23.5 after training on Seed 1 Percent 1 Coco standard while 25.81 ± 0.28 is claimed in the paper. Here's my setting: Dataset:...

Following readme construction, I only got AP 0.065 after training on Seed 1 Percent 1 Coco standard while 25.81 ± 0.28 (+16.76) is claimed in the paper. Here's my setting:...

Traceback (most recent call last): File "examples/train/train.py", line 193, in main() File "examples/train/train.py", line 182, in main train_detector( File "/app/jomedhi/SSOD-main/mmdet_extension/apis/train.py", line 164, in train_detector runner.run(data_loaders, cfg.workflow) File "/usr/local/lib/python3.8/dist-packages/mmcv/runner/epoch_based_runner.py", line 136,...

![image](https://user-images.githubusercontent.com/23164342/188877786-46f7d1e1-ae49-478c-91d4-181df890e678.png) 1、表13给出了不同数据集使用了不同的参数设置,如果想在自己的数据集上调优,请问优先调整哪些参数呢? 2、训练半监督之前需要先进行有监督模型的训练,请问为什么半监督用了8卡,而有监督只用了2卡训练,如果有监督用8卡是否预训练模型指标更高呢?还是说LabelMatch方法需要的有监督预训练模型不需要很强时,性能提升比使用更强的预训练模型时,指标更高? 最后感谢你们开源的优秀工作!

I got FileNotFoundError: [Errno 2] No such file or directory: './dataset/coco/annotations/semi_supervised/[email protected]' Error, thus I would like to ask if I can get this file. thank you!

https://github.com/hikvision-research/SSOD/blob/f914ff28734dc27ff8fba00a1792f2271a85679a/mmdet_extension/core/hooks/labelmatch_hooks.py#L152 当某一类型的预测结果为空时,此部分会报错,list out of index。

找来找去没找到分布损失的代码,是我看漏了吗?请各位指教

Thanks for your contribution of the SSOD, do you have the plan to release the source only model of the UDA settings? I think they can be treated as the...

Thanks for your amazing project. I'm trying to apply DeformDETR in your framework. But the DeformDETR was first implemented in mmdet V2.12.0, which is a newer version than yours. Could...