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Hi,
I'm currently have 2 hidden layers, one convolutional and one fully connected, with 200 neurons each. The input are 640x120x1 images with a batch size of 8. But as soon as the training starts, the…
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## Description
I generated calibration cache for Vision Transformer onnx model using EntropyCalibration2 method. When trying to generate engine file using cache file for INT8 precision using trte…
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Hi @slundberg ,
First, I wanted to say many thanks for this amazing package.
I am using the LinearExplainer with a logistic regression for a binary classification. My problem is that I only have…
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It seems the output ground truth label size is different when using L2 loss (nn.MSECriterion),
and it seems inappropriate to use log softmax as the final output of the network.
Thus, I changed th…
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17.08.2019
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--> calculate_metrics from anal_py/anal_utils.py
not corectly calculates mean of calc_pred_argmaxs_distances
because is taking absolute value!
change definit…
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## 🐛 Bug
When running tests for the optim module code I've been working on, occasionally some of the tests in other modules fail, and it looks as though that the repeat offenders can sometimes get …
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## 📚 Documentation
Hi, thanks for the paper:
I am a bit confused about the loss implementation. Take the ATSS as RPN as an example:
1. In the first stage, training the RPN with Focal Loss and IoU …
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https://www.codesansar.com/numerical-methods/bisection-method-algorithm.htm
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MSiam updated
9 years ago
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Thanks for this new deepfake detection work! I tested this project and find the bboxes may bring biases during generation. Does this phenomenon may harm the performance?
![image](https://user-images.…