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It would be great to have plug-and-play support for Embeddings, Vector Storage and Retrieval Augmentation
That way the graphs can have a lot more context
Further on that path - adding embedding …
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For data augmentation, it's very useful to have operations to mirror and rotate a tensor. See PyTorch's `flip` and `rot90` methods.
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### Search before asking
- [X] I have searched the YOLOv8 [issues](https://github.com/ultralytics/ultralytics/issues) and found no similar feature requests.
### Description
Hello author, I would l…
yxl23 updated
2 months ago
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**TL;DR**: All instance variables with initializer expressions of a class definition are initialized first thing, before invoking any non-redirecting generative constructor code. The the non-redirecti…
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HI, the repo is a nice work, thanks for your sharing.
I want to know if these augmentation methods are effective,
like the RandomErasing/Mixup/RandAugment/Cutout/CutMix?
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[Measuring the Impact of Data Augmentation Methods for Extremely Low-Resource NMT](https://aclanthology.org/2023.loresmt-1.8.pdf) explains the switch-out method. This technique views DA as an optimiza…
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https://sci.vision/#/model/resnet50-plankton
This is fairly minimal, I wondered if there was a model card available that went into a bit more detail about
* Training data, augmentation and prep…
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Institute: Google Brain
URL: https://arxiv.org/pdf/1805.09501.pdf
Keyword: Data Augmentation, AutoML, ReinforceLearning
Interest: 5
Code: https://github.com/DeepVoltaire/AutoAugment
GoogleBlog: h…
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The `AddDiagnosticPropertyReference` fix should handle augmented fields by augmenting the `debugFillProperties` method in the same class augmentation as the fields.
Currently, the assist/fix is una…
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I trained DETR in a custom dataset. I applied data augmentation techniques by adding noise (small black squares in the image) to some of the input images.
However, my model seems to overfit pretty q…