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Thank you very much for sharing your great work with us!
I’m trying to use your method with HICO-DET and V-COCO.
While I obtained a coequal result with HICO-DET to your paper (mine is 36.…
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Hi, Dr.Liao,
Thank you for your excellent work of your CDN.
We have a problem where you report the performance of different variants on the test set in the CDN to choose the best framework. For e…
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The training settings batch=4, world_size=4; I get The mAP is 0.3098, rare: 0.2528, none-rare: 0.3268 on the hico-det dataset.
When the batch is slightly greater than 16, The mAP is 0.3119, rare: 0.2…
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Hi. Thanks for your work!
I have a small doubt. In the train script, I just changed the model to 'cdn'. But, still it gives good mAP for unseen within first few epochs reaching around 8.3%mAP. I am…
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thanks a lot for great documentation. got an error in this step
![Screenshot from 2021-04-08 03-19-35](https://user-images.githubusercontent.com/76495162/113984629-4d18b000-9819-11eb-9755-4a91ba924fa…
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Thanks for your awesome work!
I try to reproduce the results reported in your paper recently on hico-det dataset, but meet 2 problems:
1. Using the config & training command, I cannot produce the…
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Hi, thank you for your code; But i have a question about the V-COCO dataset you implemented.
V-COCO is a subset of COCO dataset and has 10, 396 images (`5,400 for training` and `4,964 for testing`)…
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Thanks for you work! I got some questions:
- In this function( **build_dataset** ) , when calculating the **o_blob** , why use the **torch.cat(o_blob,h_blob)** to concatenate?
- And what's the mea…
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Have you tried to train the QAHOI which is based on the ImageNet-22K 224x224 pre-trained swin transformer backbone?
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Thx for your excellent work!
Could you please provide the best model for hico-det and vcoco datasets? thx!