is there any progress on combining object detection with object segmentation? So instead of boundary boxes we get the true shape of objects? I know segmentation exists, just wondering about integration with Yolo or similar.
Also occlusion inference would be fantastic, so that we can select between the visible parts of the object and the whole shape (behind trees etc).
Exciting decade.
It says backbone: Resnet101-FPN in https://github.com/dbolya/yolact ?
Anyone else looking for a pip installable solution: I found https://github.com/ayoolaolafenwa/PixelLib
And most current: https://github.com/yeliudev/catnet