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First of all, thank you for your outstanding contribution.
For this paper, Faster R-CNN is used as the detector and RPN output is used to carry out quasi-dense sampling and similarity learning, indi…
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**Currently, the SELSA use the faster RCNN as the main structure for video detetion. Anchor free detectors, like YOLOX, are showing powerful performance. I wonder could I use YOLOX as the main network…
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File "/kaggle/input/mytest068/tools/train.py", line 153, in
main()
File "/kaggle/input/mytest068/tools/train.py", line 149, in main
meta=meta)
File "/kaggle/working/newobb/mmdet/api…
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### Prerequisite
- [X] I have searched [the existing and past issues](https://github.com/open-mmlab/mmdetection/issues) but cannot get the expected help.
- [X] I have read the [FAQ documentation](htt…
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Thank you for this awesome work! Clearly written with enthusiasm and dedication to do the best detection ecosystem.
Got two questions, while reading detectron2 sources
1) Can RetinaNet be a subc…
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This codebase only supports one-stage detectors, the paper shows the results of faster-rcnn, when to release the code of this part?
zpyi updated
10 months ago
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or just rpn_head ?
and should I use the same momentum ,mu and bins as the one stage detector? And if I use cascade_mask_rcnn, how about these hyperparameters?
Thanks a lot.
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I'm sorry to bother you.
I'd like to ask if the idea of 4.1 two stage centerpoint in this article has not been implemented in centerpoint Kitti. Because I didn't find them in the repo. We look forwa…
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Dear Esteemed Author,
I am currently endeavoring to train my own horizontal box dataset using the OAN. However, upon reviewing your source code, I have noticed that the implementation of OAN is pri…