-
**Describe the bug**
It seems that efficientnet pruned models download links url='https://imvl-automl-sh.oss-cn-shanghai.aliyuncs.com/darts/hyperml/hyperml/job_45403/outputs/effnetb1_pruned_9…
-
Dear author :
When I test resnet50 model you provide on imagenet21k-p val dataset, the ImageNet-21K-P semantic top-1 Accuracy is just 69%, but what you have claimed is 75.6%, but I indeed see the imp…
-
Thank you very much for your work. I have the idea of following it to my own work, but I can't find the pre-trained TResNet backbones on ImageNet-22k dataset with input resolution of 224. I would appr…
-
Thank you for your work! It's a very interesting work. I'm reproducing your's work and trying to do some research based on your work. But the Tresnet-L is too big to train, so I want to start with Tr…
-
dear, is it possible to inference the model without gpu? How to do it?
-
Hi, first thanks for you to share your great work!
Here, I rerun all models in the model_zoo and got the same mAP except the tresnet-l on COCO(85.57 in my workspace), maybe a wrong model is uploaded …
-
Hi! Thanks a lot for sharing this valuable work.
But I have some questions for the performance of ML_decoder in ResNet backbone. It seems that you haven't released the RessNet version in your code bu…
-
Hi,
First, thank you for sharing the exciting work.
I was trying to reproduce the results on MS COCO dataset based on my own training framework. When I used cross entropy loss `loss_function=Asy…
-
Hi, I am using ZSL code with tresnetn m lr 10e-4 and wdecay 10e-2 , my mAP after 10 epochs were 18.94 and now its 27th epoch and it started decreasing instead of increasing so the highest till now is …
-
Thank you for your great work! Appreciate your groundbreaking research of multi-label classification on OpenImages-v6.
I had difficulty reproducing your 86.6 mAP on OpenImages. I used the `get_data…