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Hi! I wonder how many GPUs and what kind of GPUs are required in general weakly-supervised semantic segmentation task including your work? Plus as introduced in your paper, 1 or 2 TITAN 3090 GPU is en…
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Thanks for your excellent work. I’m about to replicate your weakly-supervised experiment and assume I need to start with feature extraction using hipt4k pretrained model. In my initial tests, extracti…
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Paper name: Generative Prompt Model for Weakly Supervised Object Localization
Paper link: https://arxiv.org/abs/2307.09756
Code link: https://github.com/callsys/GenPromp
Related area: Segmentation
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I have a question about the prediction mode for pseudo-labels.
All my questions are related to "unimatch.py".
[ Question 1 ]
Your approach is:
1) The "fixmatch" study, which widely announced the…
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I find your work quite intriguing and inspirational! However, I have a few questions regarding the replication of your experiments. Specifically:
1. Dataset Split:
In the train.py script, I notice…
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Hi again.
With your very kind help in #3 I was able succesfully train lacss :)
Starting from your tissuenet model. I trained on a hundred images with the parameters from With_point_label_only colab…
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Thank you for the tool. I am excited to try it out with my own data in a weakly supervised fashion.
If I understand right I will need the centroids of the nuclei and binary segmentation of my image…
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Paper name/title: "MARS: Model-agnostic Biased Object Removal without Additional Supervision for Weakly-Supervised Semantic Segmentation"
Paper link: https://arxiv.org/abs/2304.09913
Code link: http…
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Thank you so much for your wonderful work! Have you considered introducing the Teacher model (EMA) to produce the output of the weakly view? Since in the semi-supervised semantic segmentation, the Tea…
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Author, Hello, Thank you for your wonderful project on VIS. I want to know why I don 't put pre-training weights when I train on maskfree. As the number of training steps increases, the accuracy becom…