CGNL for Image Segmentation
usb1508 opened this issue · 2 comments
usb1508 commented
How do we use CGNL in image segmentation tasks?
kaiyuyue commented
Hello,
Whatever frameworks are used there, the backbone is the target place to add CGNL blocks.
For example, in Detectron2, assuming the backbone is ResNet, the CGNL blocks should be added into detectron2/modeling/backbone/resnet.py. The modification way is the same way for image classification.
Then FPN for instance segmentation or Panoptic FPN for semantic segmentation can be built upon the CGNL-ResNet. Just like the typical way to build the meta arch for detection, segmentation, or other tasks you wanna do.
Here is the list you can refer to: Detectron2 Backbones and MMDetection Backbones.
Hope this could be helpful.