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I have tried it for some medical images which are a bit larger than standard computer vision images and then the processing takes significantly longer time and on the other hand, setting larger step m…
Borda updated
5 years ago
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Hello author, I have two questions to ask.
Firstly, if I still use the BSDS500 dataset, I can set the superpixel size to 20 × 20 or 21 × 21 or any other value?
Secondly, how can I modify the code t…
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Thank you for your work,and release it. When i use ORB_slam2 model RGBd
to run Kitti dataset, sequence 00, there is no problem. And i can get the ideal result. But i processing our outdoor road d…
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## 🚀 Feature
Add a new layer type, that supports selecting, merging and detaching smaller fragments (superpixels or supervoxels) into larger objects.
## Motivation
This kind of functionality …
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Dear author, hello!
Thank you for providing such excellent work!
I hope to embed diffSLIC on the basis of a backbone for training a superpixel segmentation network. Therefore, I have carefully r…
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Thanks for sharing. Recently, using your code, I generated the superpixels with SEEM. Then I pre-trained the 3D backbone with SLidR with the new superpixels. However, the performance is not as good as…
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I can not get the right effect for superpixel augmentation with the original video on the homepage. Would you please tell me what is the proper parameter configuration for the superpixel augmentation?…
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Hello author. Setting-1 is the initial setting proposed in (Roy et al., 2020), where test classes may appear in the background of training images. My understanding is that the experimental results in …
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Thank you for sharing your work. I have a question about the overlap folder. How do you generate the overlaps between superpixels and save it in the coverage_superpixel folder? Thanks.
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The goal (at least mine) of using superpixels is to divide image into segments, in which each segment should group connected similar pixels.
In your implementation, I noticed that **many disconnected…
ghost updated
4 years ago