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I'm quite interested in following your work after reading your paper. But I ran into some issues.
Where can I get datasets in paper ?
How to replicate your quantified result in paper?
I wil…
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Thanks for sharing your works. i use a quick evaluation as your code on fold 2. the meanIoU is only 48.7% (51.3% in article) and multi-scale cannot improve the preformance either. Is there any detail …
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We attempted to reproduce the experimental results by directly using the code from that repository but failed.
Firstly, We trained a teacher model using the modified code, and its performance was…
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Hello Thank you for the Excellent work!
However I could not reproduce the results on the Pseudo-Stereo paper.
To check if the baseline code the problem I trained the LIGA-Stereo model and it was…
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Dear Author,
I have reimplemented your VAE model using the Disaggregator class from nilmtk_contrib. The experimental hyperparameters are as follows: epoch=10,batch size = 64, window size = 512, lea…
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This is the output mesh after 50,000 iterations (batch size changed to 64 due to cuda…
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when reformatting and loading in my full set-up, often like one library fails to install due to http errors. would be great if it'd just get whatever it can instead of fully failing.
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Hi, Thank you for the code.
I ran the code using the following code: sh scripts/train_ssrl_stage2.sh on the ucf dataset and the best performance obtained is 82%. Is there any specific setting that s…
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Nice Work！！
Thank you very much for your work! However, when I reproduce your code, I never reach the metric of your paper, is there any training trick ?
Looking forward to your reply！
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Thank you very much for your work, but I found that your new code 《Time-aware Entity Alignment using Temporal Relational
Attention》can be open source？