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Boundary-Guided Camouflaged Object Detection

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How was the object-related edge exploration example for Image 7 in your paper generated?

I have a question about the number of pictures in the test dataset,test image is not 4k in cod10k??I found only 2026 pictures in your test dataset

i see that the input channel of the pretrained model is the gray image,why selecting the gray image to train the model ,if using the rgb image to train model...

What's the channels of corresponding GT? is it the same as the channels of extracted edge map? Thank you~

Where to find the training set of edge image

Thanks for your nice work. When I use the eval.py file to evaluate a pre-computed map for another model, I get the following error: Traceback (most recent call last): File...

When I replay eval.py I get the following error when test the : 'maxFm': 0.7736841486165681} 63%|██████▎ | 2605/4121 [06:05

Thanks for sharing the code. I don't know how you calculate the camouflaged object edge( ground truth: Ge) based on the camouflaged object mask. Because the edge ground truth will...

When I test I get the following error: Traceback (most recent call last): File "etest.py", line 30, in image, gt, name = test_loader.load_data() File "/data/zjb/camo/BGNet-master/utils/tdataloader.py", line 113, in load_data gt...

Why are the results from my own training so much worse than the original paper?I want to make this paper my own baseline, how do I do that?