Mining

Neural Information Processing Systems 

We have conducted the experiments of replacing proposal generator, including MaskFormer [3] and RPN in Mask R-CNN combined with class-agnostic segmentation head [6, 7] (denote as RPN+Seghead). We also conduct the results for generating different numbers of proposals (N) with Mask2Former. Note that the original setting of MicroSeg is Mask2Former (N = 100).

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