mzhe

Results 8 issues of mzhe

![image](https://user-images.githubusercontent.com/35750924/110423198-97ecbe00-80db-11eb-8597-d4e8798ceabf.png) Did you use FPN to get the baseline results in the article?(without adapt baseline for example the line that AP50=25.6)

During the test, we first get the similarity between one image and a certain (or 5) object categories every episode, and finally put together the results of multiple episodes of...

When the test was completed and evaluation started, the program encountered the following error. I checked the config file and found that the fsod dataset does not define deveit directoy....

I see that you use a classification head with dim = 82. Can I directly modify the head size to 22 to implement the current design, which I think is...

``` targets[:num_fg, self.num_classes-2] = gt_scores[:num_fg] * \ (1-gt_scores[:num_fg]).pow(self.alpha) targets[num_fg:, self.num_classes-1] = gt_scores[num_fg:] * \ (1-gt_scores[num_fg:]).pow(self.alpha) return self._soft_cross_entropy(mask_scores, targets.detach()) ``` 看到您在这块对于background 类好像采取了和unknown类一样的操作,可以解释一下这个的原因吗?论文中好像没有看到相关的阐述。

what‘s the mean of scale used in ROI pooling? Does it means:like 8 means the feature map is 1/8 size of input image?

I want get the panoptic segmentaion results of a series of images, how can I run the inference in a local terminal?