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Something like:
- booby-trapped directories
- "enemy" binaries or network connections
- losing resources or files for other reasons
- "viruses"
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Hello, bro. I want to finetune my own dataset on the 256 model, but why the adversarial loss always remains at 0.69 without any change. I would very much like to get your advice.
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Thanks for sharing the source code!
But I have some questions here:
1. In `adda/tools/train_adda.py` line88-103: seems that you set source domain label as 1, and target domain label as 0? But …
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A key work in this area is https://github.com/YingzhenLi/Dropout_BBalpha
A problem with implementing this method here is that it needs model gradients. Either we could build a task that supports m…
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Hi,
I'm interested in attacking yolov8 to test methods for better resistance.
The yolo model is not accepted in torchattacks. Instead, I tried to import and attack a pre-implemented model from t…
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**AttributeError: 'Vector3D' object has no attribute 'get_vector_angle'**
I have met an error in the following code, can you help me?
`relative_delta_angle = math.degrees(ego_forward_vector.get_ve…
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Hello,
In Table 5 of your paper _"AdvDiff: Generating Unrestricted Adversarial Examples using Diffusion Models"_, you mentioned the experiments are done on the ImageNet dataset. I wonder if it is …
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### Description
Throughout the second stage of an F1TENTH race vehicles engage in head-to-head racing. We need to be able to not only detect the other car but ideally "predict" its future state to be…
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@rnfinnegan, that was a great talk on the work you and @pchlap have been doing in Platipy undergoing approximately anatomically relevant deformations.
As discussed at the conference I had a thought…
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https://arxiv.org/pdf/1801.02610.pdf