DPatch
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An adversarial attack on object detectors
hello~ the untargetd code I don't seem to see it, or I just miss it?
The link to download the pretrained DPatch seems to be broken. Would it be possible to provide a new link, or share the file in another way?
Thanks for your contribution, here is my problem My training loss do not change as I followed your doc `epoch 12[1308/5011], loss: 57.624, bbox_loss: 0.469, iou_loss: 56.200, cls_loss: 0.955 (0.05...
I have checked this code and found that the Dpatch was trained without limiting its value to the allowable range of (0,1) for image, and then filled in the mask...
The paper says that for untargeted attack, target label is defined as 0,but 0 corresponds to aeroplane,is this still a targeted attack,What should I do
python 3.6 torch 0.4.1 cuda 9.0 How to solve it?
Download a trained DPATCH https://drive.google.com/open?id=1_G5xXWIJWNGuss4KZbBQ9pMvuthmL_wc
When I run demo.py or train.py or test.py ,and I am getting this error: initial model without patch load model succ... Traceback (most recent call last): File "demo.py", line 65,...
Bumps [opencv-python](https://github.com/skvark/opencv-python) from 3.3.0.10 to 4.2.0.32. Release notes Sourced from opencv-python's releases. 4.2.0.32 opencv-python: https://pypi.org/project/opencv-python/ opencv-contrib-python: https://pypi.org/project/opencv-contrib-python/ opencv-python-headless: https://pypi.org/project/opencv-python-headless/ opencv-contrib-python-headless: https://pypi.org/project/opencv-contrib-python-headless/ OpenCV version 4.2.0. Changes: macOS environment updated from xcode8.3...
I followed this code but it seems like the Patch doesn't work, since the mAP are too high. Are there any tricks during training? I'd appreciate it if the author...