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This issue is a continuation of #404 and #406.
As mentioned in the Issue/PR above, there is room for improvement regarding the augmentation pipeline.
Before going in one direction or another, we s…
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Thanks for the interesting work!
It would be quite beneficial if these methods can be provided as a ready to use class that follows albumentation API which is probably the most used augmentation li…
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Hi. I have a question about the reported metrics of Poseur in your paper.
In the original Poseur paper, AP is 75.4 with ResNet-50 backbone. However, it is 74.2 in your paper with the same backbone. M…
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[avoid_renaming_method_parameters](https://dart.dev/tools/linter-rules/avoid_renaming_method_parameters) is specific to overridden methods.
Should it be extended to augmented methods/functions too?…
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This is a thread for Carolina to summarize her research on RAG.
The purpose is to share the information among project members.
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### 🚀 The feature, motivation and pitch
The addition of weighted loss functions to the PyTorch library, specifically Weighted Mean Squared Error (WMSE), Weighted Mean Absolute Error (WMAE), and Weigh…
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`torchvision` defines [Transforms](https://pytorch.org/docs/stable/torchvision/transforms.html) objects to apply data augmentation and other transformations to data.
We could and should define our …
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First of all, thank you for uploading this very comprehensive and capable code. It surpasses the quality of what others upload on Github in the 3D-Semantic Space.
Has there been any additional trai…
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This is the issue dedicated to the summary of papers that I found related to adding back translation expander.
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Hi, thank you for working on a comprehensive survey of prompt-based methods.
We would like to suggest the following paper be included under the corresponding topic section.
**GPT3Mix: Leveraging…