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The object detection training set is too small. How can I use GAN to generate the object detection training set?
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First of all, thank you for your excellent work and congratulations on your paper winning the best paper award in ICCV2019. I'm very interested in your work. But I have some problems running your code…
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Thanks for your insightful work and helpful codes! the idea is really inspiring and the codes are nicely organized.
I'm trying to train my own data on your bbox-prediction network (in `PredictionCN…
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Shane:
- Advanced project management
- Java backend expertise
- Python PyQt & Django stacks
- AI & machine learning integration
Kamil:
- UI/UX design specialization
- Angular frontend development
- C…
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Traceback (most recent call last):
File "C:\Users\AdziOo\stable-diffusion-webui\modules\call_queue.py", line 57, in f
res = list(func(*args, **kwargs))
File "C:\Users\AdziOo…
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Without data preprocessing, a random picture is used as ref_image and the provided motion_6 for inference. The result is as follow. The consistency of the character's movements is very good, but the c…
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### Team Name:
QC@UCI
### Project Description:
To enhance the Generative Adversarial Networks (GAN) used in the High Energy Physics (HEP) community for fast event simulation with Quantum Ci…
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Hi,
When running the first notebook, as-is, from chapter 4, I am getting very odd results.
During training, I could notice very huge swings of accuracy/loss of the generator/discriminator, and a…
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- Name of layer type: **'Conv_transpose2d'**
- Is this a PyTorch or a TensorFlow layer type: **PyTorch**
- Your version of coremltools: **7.0**
- Your version of PyTorch/TensorFlow: **PyTorch 2.0.1…