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Hi,
I've been executing your code using the hyper parameters detailed in _main_reproduce_paper.py_ for the VGG19 and ResNet50 models on CIFAR-10 in order to reproduce the results detailed in your p…
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## 🚀 Feature
Looking at the [commit history](https://github.com/pytorch/vision/commits/e1a3042792a3f15a8cae8cc563d54d2215a3e201/torchvision/models/googlenet.py) for `torchvision.models.googlenet`, I …
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@AliAmini93
The TactileNet model employs a sophisticated architecture that integrates Inception-like modules with SENet (Squeeze-and-Excitation) blocks to enhance feature extraction and classificati…
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Hi @naisy ,
Thanks a lot for sharing your work.
In the readme, you have mentioned `Faster R-CNN: PC only`
Were you able to get FasterRCNN+Inception (or) FasterRCNN+ResNet working on TX2 with …
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`python main.py -a inception_v3 ./imagenet/cat2dog --batch-size 16 --print-freq 1 --pretrained;`
=> using pre-trained model 'inception_v3'
Traceback (most recent call last):
File "main.py", line…
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I used your provided pretrained model to create 50000 cifar images, and then I used the public TTUR project[1] to calculate the FID. Finally I get FID=66, Instead of the 5.33 you claimed in your paper…
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## The Path to Packer Plugin SDK v1.0.0
The plugin architecture for Packer has proven successful since its inception but has introduced hurdles while working with HCL2 support.
In a recent chan…
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### Description
Over the past 3 or so months I am seeing increasing freezes in my Ubuntu Jammu JellyFish VMs.
```
➜ cat lima.yaml
# ============================================================…
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The existing implementation use a L2 regularization on all model variables (including batch norm variables and biases). It's quite different from TF slim models which usually regularizes only conv2d w…
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HI,
Is it possible to train for 512 facenet model ??
What is the procedure for it ??
Btw, how to get the dataset for the training ?