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### Motivation
Recently，there are many good paper that try to alleviating hallucinations for large vision-language models **during the decode process**，like：
OPERA: Alleviating Hallucination in Mu…
zhly0 updated
2 months ago
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The depth data is not included in the data set you shared, but this error message appeared during the training process.
Training started from: 2020-09-03 10:23:59
Scene Data Exists!
initialized o…
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We are the 具身智能之心team. We have long admired your reputation and hope to have the honor of inviting you to our platform for a series of cutting-edge research publication and to participate in a series …
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Hi!
I would like to reproduce the recall@1 vs. time plots in the LSQ++ paper. Thanks for the open-sourcing of the corresponding code!
Installing Julia 0.7 and the Rayuela.jl was relatively pain…
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Thank you for releasing the code and congratulations on the ECCV acceptance.
I am trying to run the code using the ER dataset. However, the `fractal_analysis.py` file is giving me an error `RankWar…
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Congratulations on your great work to be accepted by ECCV!
I wonder whether the code will be released?
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Hey @Ahmedest61, it was great meeting you at ECCV!
Are there any plans to release the trained model on torch.hub? It is quite simple to do and allows people to use your model with two lines of code…
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@deponce Hi, for this line:
https://github.com/ECCV2024MSE/ECCV_MSE_Teacher/blob/76f6c300e45babc1e15188a26ed9e7624b34c25c/train_teacher.py#L109
you choose loss function between "MSE" and "CE" via `o…
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논문에서 제시하고 있는 method를 명확하게 두 스텝으로 설명해주셔서 이해가 수월했습니다. STL10 dataset의 경우 supervised로 학습한 것보다 본 논문에서 제시한 unsupervised 방식으로 학습한 성능의 더 좋은 결과를 보인 것이 흥미로웠습니다.