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Hi,
I am impressed by the outcome of your work on multiple datasets. However, I wonder if you can offer some training details about finetuning on KITTI to achive 72.8% on test set since the amount of…
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Hi, I have read your paper, and I noticed that your baseline got 55.0% mIoU for VOC2012 val. Could you tell me how this mIoU 55% come from? From my view, you used baseline original vgg16 classificatio…
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I am working on weakly-supervised semantic segmentation.
I used drn-d-105 as our backbone for deeplabv2 and it worked very well.
During training, I load drn_d_105-12b40979.pth as our pretrained wei…
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Describe the basics in training registration:
- unsupervised learning
- weakly supervised learning
- combininig unsupervised loss and weak supervisions
- conditional segmentation
with data load…
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U have used Segmentation classes for creating Augmented images.Will the Augmented images be used for training?If so aren't we using fully supervised data for training? Please let me know
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With 2 v100 / 16G, low performance
I use syncbn
![image](https://user-images.githubusercontent.com/18137551/86097141-d2cb3a80-bae6-11ea-9d9c-7c00995554c3.png)
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Hi, nice to meet you. I read your paper and the performance of the model is excellent. But, you did not talk too much about Our-RRM-ResNet(101). Can you talk about the details of it? How did you train…
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Hi, Great work! It is very promising.
I have some problems about the training procedures and datasets:
(1) The training of co-peak module, and the testing of final instance co-segmentation share t…
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We are using Segmentation classes of Pascal VOC to generate Augmented images which inturn is used totrain the model which means that we are using fully supervised data isn't it??So how is the model w…
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hi,@GuoleiSun,I am confused that How to prepare the "pre-computed object proposals".
Hope to receive your reply!