semantic segmentation

[ajtao]

Hello, thanks very much for sharing the code for your tremendous research!

For semantic segmentation, did you just run evaluation with multiple square tiles to handle the non-square resolution of Cityscapes? Can you share any details, like decoder head architecture?

[houqb]

We process each image in a sliding window way. As mentioned in the paper, we use the UperNet head as our decoder head.

[ajtao]

right thanks.

[ajtao]

@Andrew-Qibin I'm seeing rather poor Cityscapes segmentation results (training starts at 20 IOU first epoch and only gets to 53 IOU) right out of the box using a volo_d2 trunk (using imagenet pretrained weight). Probably i've got some tensor ordering wrong or something, but is there any trick to adapting the code to higher resolution? I had to of course override the positional encodings from the checkpoint with a new higher resolution positional encoding (1024). And i created a new forward() that supplies the features in N, C, H, W form. But hmm, not sure what i've got wrong right now.