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https://deepai.org/publication/one-shot-radiance-global-illumination-using-convolutional-autoencoders
supports a wide range of material types, without the requirement of offline pre-computation or …
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Hello gents,
I was hoping I can get a second opinion about a situation I am facing while using setfit for a multi class classification use case.
The dataset is small with 255 samples across 9 clas…
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### A thorough review of the PyTorch interfacing class
- [ ] NeuralForecast
NeuralForecast interfaces the PyTorch indirectly through its neural network dependency.
* [**Adapter**](https…
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Thanks for your wonderful work. Where is the preprocessing of the dataset?
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It would be nice to have the ability to update metadata on an EXR without rewriting all the channels in a file.
- This is especially arduous around very long shots (35k frame oner/one-take shots) o…
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Vinyalis et al. introduce the mini-ImageNet dataset as a
1. image downsampling (84x84)
2. number of classes reduction (100)
3. number of per-classes images reduction (600)
with respect to reg…
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Hello,
I was hoping to find some help here. I am running this gui but my training is taking too long. Something seems broken. I am training 13 images, and it is taking two hours and I have a 3060 N…
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The Goal of the project is to do Face recognition task using Siamese Neural Network that is trained over a triplet loss function , This is useful in situations where you have limited dataset for train…
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Hello! Thanks so much for easyfsl, it's fantastic. I am testing my Prototypical Network (trained on mini imagenet) with SupportSetFolder. When I test it on the folder I attached called dataset1 (conta…
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1. Prompt Engineering
a. Zero-shot learning
Few-shot learning
Select appropriate key wors
Do not change weights
2. Fine-tuning
a. Instruction-based
b. Domain based
Change the …