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Hi,I have a confusion hope can be helped,
In semi-supervised segmentation, why the performance improvement always becomes smaller as the amount of labeled data increases?
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wwjwy updated
2 years ago
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Hello !
Excuse me!
Is this code a reproduction of this article?
article title:Semi-Supervised Semantic Image Segmentation with Self-correcting Networks
author: Mostafa S. Ibrahim; Arash Vahdat…
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Hi, I would like to ask why your paper is not related to the Enhancing Pseudo Label Quality for Semi-Supervised Domain-Generalized in 2022 Compared with the indicators of Medical Image Segmentation, i…
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After training for 300 epochs with the standard configuration on the cityscapes dataset, except for the crop size, which I had to downsize to 256x256, the result is just a noise of some random pixel v…
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BoxInst is a really nice job!
In your paper, you did an extension experiment which is a semi-supervised instance segmentation task. I wonder if there is a handy way to reproduce those results shown i…
njuxx updated
2 years ago
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We attempted to export images from `dataset_generator.DatasetGenerator` but found that they did not accurately represent the actual form of anime images. Therefore, the performance of the trained mode…
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I used to do medical image detection, using b-box. Your method can achieve semantic segmentation in a semi supervised way. But I don't have any code. Can you roughly predict whether your method is fea…
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Please post here interesting papers, possibly with a brief description of technique and results (improvement).
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Hi,
Could you add our paper "[RankMatch: Exploring the Better Consistency Regularization for Semi-supervised Semantic Segmentation](https://openaccess.thecvf.com/content/CVPR2024/papers/Mai_RankMatch…
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Thanks for the nice work! I am having trouble reproducing the 71.9 mean $\mathcal{J}\\&\mathcal{F}$ result reported for PerSAM-F on the semi-supervised video object segmentation task on the DAVIS 2017…