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List in General:
**Can Be Done Without Training Images**
1. Gamma Correction: Adjust image brightness.
2. Filtering: Apply Gaussian blur, median filter, etc.
3. Color Space Transformation: Conve…
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Hi mmdet maintainers,
Thanks for the repo. We are the project lead of [Kornia](https://github.com/kornia/kornia), and thinking of the possibilities of integrating Kornia augmentation pipeline into …
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Sometimes URLs are written in text rather than hidden behind the HTML element. The URL should be copied as is in this case.
There are two ways to fix this:
1. Maybe an easier way: identify a URL w…
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I'm not suggesting we don't add augmentations to the language. I just found this approach interesting enough that I want it documented, in case we ever reconsider. @mit-mit mentioned this approach as …
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Data augmentation is a technique to increase the amount and diversity of data without actually collecting new data. This comes in handy when labelled data are not easy to come by, and can help increas…
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Idea is an automated confidence/suspiciousness measure for CPR tracking results. For data where the base tracking is pretty good, the replicate dispersion tends to be higher for more inaccurate frames…
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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
There is a surge in graph data augmentation research, and it is often important for self-supervised learning on graphs. I saw there is an implementation of Dr…
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I know very little about ML, and this is the first time I'm implementing a model, so I've decided to use this library to make the learning process easier. I have limited training data(about 10 images,…
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Following up: #621
I want to run data augmentation on poses alone (I have an [interesting scenario](https://youtu.be/78eeBoxTr-w?t=323) imo) and I want to do it fast, as right now to augment a bat…