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The code uses VGG architecture for feature extraction. My doubt is that, is it possible to begin training from VGG weights?
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Hi, I got the artifacts when generating synthetic low light clean images. According to y…
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Sik-Ho Tang. [Brief Review — Self-Supervised Feature Learning by Learning to Spot Artifacts](https://sh-tsang.medium.com/brief-review-self-supervised-feature-learning-by-learning-to-spot-artifacts-6fd…
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## Compiler version
`3.2.0`
## Minimized code
```Scala
List(1,2,3).zipWithIndex.map { (x, y) =>
println(x)
}
```
## Output
`x` is marked as Synthetic both in the definition and in…
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### Description
I have a synthetic dataset created in blender i.e. images and their respective poses (in blender format). How can i correctly use them as an input to the image_config param?
I have…
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We want to measure the model's ability to generalize beyond the 30 classes it was trained with. Idea is to take an aerial image of a subject that is not covered by the 30 classes it trained on, and me…
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According to the BLIP2 paper:
> We adopt the CapFilt method (Li et al., 2022) to create synthetic captions for the web images... We keep top-two captions per image as training data and randomly sam…
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1. I have tried to train the model on synthetic data (keras-ocr https://keras-ocr.readthedocs.io/en/latest/examples/end_to_end_training.html#generating-synthetic-data). I have 10000 background images.…
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The main improvement needed for Ocrs to be more useful is higher text recognition accuracy / lower error rate, especially with longer lines. Also for multilingual support, examples in more languages w…