Figure 2. The proposed domain adaption framework contains a segmentation net and a SimT. Target images are passed through the
segmentation net f(·) to perform semantic segmentation, and supervision signals are corrected by the learnable SimT. SimT is estimated
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through the proposed (a) volume regularization, (b) anchor guidance and (c) convex guarantee.