Comments (4)
Did you run the attack? TOG is designed to confuse the object detection system to produce wrong results.
from tog.
begin no attack also has too many wrong results,i don't know why
from tog.
I met the same question, is it solved?
from tog.
when I ran on the win11 system, this problem comes out, but change to the linux and win 10, the output is correct.
from tog.
Related Issues (20)
- yolov5 HOT 1
- Video Example HOT 1
- ValueError: Dimension 0 in both shapes must be equal, but are 1 and 255. Shapes are [1,1,1024,75] and [255,1024,1,1]. for 'Assign_360' (op: 'Assign') with input shapes: [1,1,1024,75], [255,1024,1,1]. HOT 7
- running the projects on colab HOT 2
- TOG Mislabelling attack not working with some images HOT 3
- No Object Detection Metrics Computation HOT 1
- vanishing attack and fabrication Attack HOT 1
- patch HOT 1
- visualize results HOT 1
- get mAP HOT 1
- TOG patch and position HOT 1
- Dont have from model.bbox_transform and net.vgg HOT 1
- How do I solve the IndexError: list index out of range error when using tensorflow-gpu==2.5.0 for execute the demo_patch.ipynb program HOT 1
- ZeroDivisionError: division by zero
- don't have .h5 file HOT 1
- Getting Shape related Issue while loading the weight file in yolov3.
- Shape Related Issue while loading the model. ValueError: Dimension 0 in both shapes must be equal, but are 1 and 255. Shapes are [1,1,1024,75] and [255,1024,1,1]. for 'Assign_1082' (op: 'Assign') with input shapes: [1,1,1024,75], [255,1024,1,1]. HOT 1
- Retrieval of attacked images
- Can you give the code for the video real time attack?
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