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[DOWNLOAD.md](https://github.com/pzzhang/VinVL/blob/main/DOWNLOAD.md) says `We also provide the X152-C4 objecte detection config file and pretrained model on the merged four datasets (COCO with stuff,…
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Thank you for your great work! However, I have trouble when reproducing your reported results in your paper (i.e., Table 2 and 4). Therefore, I have some questions and I hope you can help me solve the…
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Thank you for your excellent work.
However, I failed to reproduce the results on COCO dataset reported in your paper. I have followed your experimental settings precisely, yet my results are signi…
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(from old issues page)
BGPierce commented on Dec 29, 2015
I have had many people tell me that the artifact colors in composite mode on the Mess Coco emulator are much truer than the artifact colors …
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VinVL's [DOWNLOAD.md](https://github.com/pzzhang/VinVL/blob/main/DOWNLOAD.md) says `We also provide the X152-C4 objecte detection config file and pretrained model on the merged four datasets (COCO wit…
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Hi,
I'm testing the Python API. I wanted to check if I could get **1.0 AP** when the prediction is **strictly equal** to the ground truth, wich seems obvious. However, I get **0.73 AP@0.5** and othe…
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Thanks for sharing the code for your exciting work.
I have a question regarding the linear probing result of the DINO pipeline.
Since there are no details in the paper for evaluating the basel…
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There was nothing in ./results/coco_pretrained after running test.py normally using coco dataset.
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Dear author,
Thank you for sharing your work.
Howevr, I cannot reproduce the performance on VOC with the inductive setting. Here are my results obtained by training vpt_seg_zero_vit-b_512x512_20…
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I get the following error:
```
file "/opt/conda/lib/python3.8/site-packages/torch/nn/functional.py", line 2805, in cross_entropy
return torch._C._nn.cross_entropy_loss(input, target, weight,…