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Some of the networks we have in plantseg output foreground probability maps together with boundary predictions. This can be used in the segmentation post-processing step in order to filter background …
wolny updated
8 months ago
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Thanks for your work and i have read your paper. I have a question about the attention network.
In unsupervised setup, the losses are adversarial loss and cycle-consistency loss during early of t…
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Hello, I have trained my segmentation network over the PROMISE12 dataset using the dense_vnet, but when I try to perform evaluation between the PROMISE12 groundtruth and my inferred volumes there appe…
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It gets stuck at the beginning of training and cannot enter epoch0. It takes about 2 hours to train normally. I use my customized network for training, instead of one of the three default models. Afte…
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Hello. Thanks for you work.
Could the project be adjusted for multi object selection?
By multi object selection I mean a case when we set clicks not only as foreground and background but clicks for …
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How do you use FCN to get a foreground image without background? I am a newcomer to this, can you give me some advice?
I only want to get a pedestrian image without background. What should I do? Than…
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## タイトル: テキスト教師あり一人称視点セマンティックセグメンテーションのための認知転移と分離
## リンク: https://arxiv.org/abs/2410.01341
## 概要:
本論文では、画像レベルのラベルからテキストによって弱教師ありされた、エゴセントリック画像にピクセルレベルのカテゴリを割り当てることを目的とした、新しいテキスト教師付きエゴセントリックセマンティック…
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I'm using hrnet2w20 to train the segfix network on my own dataset (label_list=[0, 1, 2, 3]) for refining the prediction results. Since one of my foreground classes is cracks, which are relatively smal…
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Hi, thanks for your grate work and sharing
I have a question about symmetrical correspondences.
Specifically how are symmetric labels made, and what does the network use to determine if two pixel…
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Hello, dear blogger
Do you have details of the breast cancer patients in the DMR-IR-BC dataset that are labelled left or right breast?