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speedinghzl avatar speedinghzl commented on May 31, 2024

Thanks for your interest in our work. The seed cues which stored in the pickle file is very important. In every training iteration, the current supervision grows starting from the original seed cues rather than the last iteration generated seeds. And you can find the sentence "To ensure the stability of training, DSRG always chooses the original seed cues as initial seed points" in our introduction section. In a word, we do not perform the seeded region growing with the previous seeds.

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DotWang avatar DotWang commented on May 31, 2024

Thanks for your clear explaination. So the bottom row results in Figure 1 whether can be understood as for a certain input image, in every epoch, although a same cues pickle file is always loaded as the initial seed , the label map can still dynamic updating because of the constantly changed CAM during training?

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speedinghzl avatar speedinghzl commented on May 31, 2024

The label map can still dynamic update because of the constantly changed segmentation networks during training. We use the CAM to generate the initial seed (cues pickle file) offline. Afterward, we have not used it.

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DotWang avatar DotWang commented on May 31, 2024

OK, I see. thank you very much. (It's my fault, the "CAM" I just said is the probability map "fc8-SEC-Softmax" in the code)

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