Comments (4)
Sorry but I can't help much in texture segmentation.
from weakly-supervised-camouflaged-object-detection-with-scribble-annotations.
just guide me then I research more, as your knowledge just helps which architecture can be helpful to this?
from weakly-supervised-camouflaged-object-detection-with-scribble-annotations.
The paper contains the idea of the network design. You may refer to it.
from weakly-supervised-camouflaged-object-detection-with-scribble-annotations.
hello dude again:))
Is there any idea to make the result better that you can say? (for example, add a special module or add more layers to proposed module.)
from weakly-supervised-camouflaged-object-detection-with-scribble-annotations.
Related Issues (20)
- Thanks for the great work! I would like to ask if you can publish the code and dataset of the paper? HOT 1
- train.txt HOT 1
- Results on NC4K HOT 5
- Here are some questions, why the weakly supervised dataset Scribble you provided is all black? HOT 1
- LSR Module中激活函数的相关问题 HOT 1
- S-COD 数据集为什么都是黑的图片 HOT 1
- 关于测试的问题 HOT 1
- 数据集中图片全部为黑色,没有期待中的涂鸦注释 HOT 2
- Scribble Dataset HOT 1
- 涂鸦标注数据预处理 HOT 1
- question about configuration HOT 8
- 关于Fss特征图的一些问题 HOT 3
- 关于文章标题的疑惑 HOT 1
- Question about annotation
- Question about Results on NC4K HOT 1
- References
- Thanks for the great work! Here are some questions. Which version of python corresponds to this paper?
- scribble HOT 1
- About Eq.(2) proposed in the paper... HOT 3
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from weakly-supervised-camouflaged-object-detection-with-scribble-annotations.