U-Help

Results 7 issues of U-Help

Does the weighted sum of APr, APc, APf equal to AP?

Hi, I use the pretrain_model in this Github repository to test mask_rcnn_r50_fpn_1x_lvis_agnostic, however, I get only very bad result, can you give some suggestion? ![image](https://user-images.githubusercontent.com/39671748/125805131-1a5a34a6-83a0-4833-b6ce-f78210600ec4.png)

Hello, I'm confused that how you get the curve of classificaiton accuracy per class in inference. Can you give me some suggestions or share the code?

I have great interest in your work, and I want to ask a question. Does the baseline model also use sigmoid loss function rather than softmax loss function?

Well, in your paper, there are results on different frameworks and models, including R-50-C4 and R-101-C4. But in this repo, you don't provide relevant results. I try to implement this...

I follow your install guide and run the training code with "./tools/dist_train.sh configs/lvis/forest_rcnn_r50_fpn.py 1 --validate". However, it always ends with the following error: ![image](https://user-images.githubusercontent.com/39671748/152558972-566b7c94-8d55-4364-9434-e097e3c47fda.png) Can you explain the reason?

In the paper, the equation for NMS Resampling-Linear is as following: ![image](https://user-images.githubusercontent.com/39671748/113708006-4a339780-9713-11eb-9725-b0732eca3024.png) But, in my opinion, for xi in frequent classes, threshold should be alpha_f+...