angzz / awesome-panoptic-segmentation Goto Github PK

Please update the content, I'm a freshman in this field, your guys repro give me many advices. Thanks, please update the content. :-)

are you sure that

Learning to Fuse Things and Stuff and An End-to-End Network for Panoptic Segmentation are accepted by CVPR2019?

The SQ and RQ of SOGNet (R-50) on COCO-val are 78.7 and 53.5, which are shown in Table 2 of the paper.
The mIoU and AP of SOGNet (R-50) on COCO-val are 54. 56 and 34.2, which are described in the last paragraph of the paper.

In the coco dataset, UPSNET can gain 42.5 PQ with R50 instead of R101 which you can refer to the chapter 4 in their paper.