Comments (4)
Hi, thanks for your interest in our work. Now I am also awaiting the Ant Group to release models since I run the models in the company and the company is highly sensitive to the data security. I have no ideas when they will complete the data security process.
Given the current situation, I'm planning to rerun the main models in the paper if GPUs in the university lab are available and release them.
from adamixer.
Hi, so when will you release the trained models? thanks!
Hi, thanks for your interest in our work. Now I am also awaiting the Ant Group to release models since I run the models in the company and the company is highly sensitive to the data security. I have no ideas when they will complete the data security process.
Given the current situation, I'm planning to rerun the main models in the paper if GPUs in the university lab are available and release them.
from adamixer.
Hi, so when will you release the trained models? thanks!
Hi, thanks for your interest in our work. Now I am also awaiting the Ant Group to release models since I run the models in the company and the company is highly sensitive to the data security. I have no ideas when they will complete the data security process.
Given the current situation, I'm planning to rerun the main models in the paper if GPUs in the university lab are available and release them.
Now reproduced model checkpoints and logs are available. Please check google drive or README.md.
from adamixer.
Thanks
from adamixer.
Related Issues (20)
- The Conversion between (x, y, z, r) and (c, c, w, h) in code is not same with the paper? HOT 2
- work_dirs files HOT 2
- RuntimeError: output with shape [16, 300, 300] doesn't match the broadcast shape [1, 16, 300, 300] HOT 5
- [BUG] when training with pure background images, loss tend to be inf.
- RuntimeError: output with shape [16, 100, 100] doesn't match the broadcast shape [1, 16, 100, 100] HOT 1
- Excuse me, does COCO minival mean coco as a whole dataset or as part of it? HOT 1
- [BUG] params M's dimention shape mismatch HOT 1
- matrix contains invalid numeric entries HOT 2
- How to compute adamixer's FLOPs? HOT 3
- ValueError: matrix contains invalid numeric entries HOT 4
- code for Visualization HOT 1
- Pytorch version HOT 2
- Why cannot I find Adamixer in the mmdetection? HOT 2
- Welcome update to OpenMMLab 2.0
- 公式5
- 推理gpu资源
- 问个问题, HOT 1
- Visualization about sampling points HOT 3
- About the "debug" and "postfix" in config file HOT 2
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