-
https://arxiv.org/abs/2108.06152
-
If u want to adapt the model to 3090, u could set the group_detr param in cfg to 1,and comment the lines of 467-473(about conditional) in the https://github.com/ZrrSkywalker/MonoDETR/blob/main/lib/mo…
-
Which model do you want to support in mmdeploy? Comment here. You can like a comment to increase model priority.
| | Model | Codebase | Backend | Number of likes | Released
| :--- |…
-
I try to train Group DETR with 12 epochs (other settings remain unchanged), but the results are much inferior to that in the Group DETR paper.
My results (11 groups):
| AP | AP50 | AP75 …
-
### Feature request
This feature request significantly improves memory consumption for segmentation models, particularly when working with datasets with large numbers of instances per image.
###…
-
hello author,
i use the 3080ti to train Conditional DETR with entire coco2017 datasets.
But the programs report that cuda out of memory,3080ti has 12GB memory.I use the msi after burner to monitor…
xziyh updated
2 years ago
-
Hi,
Deformable DETR is now available in 🤗 Transformers: https://huggingface.co/docs/transformers/main/en/model_doc/deformable_detr.
All checkpoints are on the hub: https://huggingface.co/models?…
-
**Describe the bug**
Model I am using UniLM:
I use the following code to load the model.
```
from transformers import AutoTokenizer, AutoModel
tokenizer = AutoTokenizer.from_pretrained("micro…
-
## 🐞Describing the bug
I get the error `Unable to map torch_upsample_nearest_neighbor to core upsample` when I try to convert the DETR PyTorch model. I tried to go deep into the package to see that t…
-
https://arxiv.org/abs/2201.12329