shufan wu
shufan wu
## Motivation Add decouple algorithm for long-tailed recognition. ## Modification Add decouple algorithm config files and implementation files. [Paper](https://arxiv.org/abs/1910.09217) [Official Implementation](https://arxiv.org/abs/1910.09217) [Issue](https://github.com/open-mmlab/mmclassification/issues/1231) ## BC-breaking (Optional) Does the modification introduce changes...
thank you for your work! I have implemented the train code and want to finetune in my own dataset, could you provide the discriminator pretrained model?
是否提供模型权重
您好!我打算在mmdetection框架下复现dense teacher,请问能提供模型权重做推理精度对齐吗?
This pr implement dense teacher for mmdetection. paper: https://arxiv.org/abs/2207.02541v2
Thanks for your contribution and we appreciate it a lot. The following instructions would make your pull request more healthy and more easily get feedback. If you do not understand...
您好,我在看合并的实现逻辑时,发现如下几个问题,可能导致框的合并存在问题: 1. 判断框是否上下对齐的一个条件是需要与其他框存在重叠,这里该如何理解?是否少了一个not?https://github.com/PaddlePaddle/PaddleX/blob/release/3.3/paddlex/inference/pipelines/paddleocr_vl/uilts.py#L248 2. is_cross表示两个框在水平方向无重叠,且竖直方向有重叠。该逻辑合框的依据是什么?根据现在的逻辑,会将下图中3,4合并。 [yanbaor2_yanbaoPPT_6065_layout_order_res.zip](https://github.com/user-attachments/files/23470394/yanbaor2_yanbaoPPT_6065_layout_order_res.zip)