Thank you for sharing impressive work! @congvvc
What is the training dataset ratio used for HyperSeg training?
For example, PSALM followed this training dataset ratio:
coco_panoptic : ref_coco : coco_interactive : mm_conv = 1 : 1 : 1 : 1
Likewise, InstructSeg followed this training dataset ratio:
ref_coco : mm_conv : ref_vos : reason : reason_vos = 4 : 2 : 4 : 1 : 3
The main reason for this question is that I couldn't reproduce the 61.2 COCO panoptic PQ score. I used the COCO panoptic segmentation training code from PSALM and trained HyperSeg, but the maximum PQ score of HyperSeg was 56.0.
Can you advise me on this result? Is there any difference from PSALM for panoptic segmentation training?
Thank you for sharing impressive work! @congvvc
What is the training dataset ratio used for HyperSeg training?
For example, PSALM followed this training dataset ratio:
coco_panoptic : ref_coco : coco_interactive : mm_conv = 1 : 1 : 1 : 1
Likewise, InstructSeg followed this training dataset ratio:
ref_coco : mm_conv : ref_vos : reason : reason_vos = 4 : 2 : 4 : 1 : 3
The main reason for this question is that I couldn't reproduce the 61.2 COCO panoptic PQ score. I used the COCO panoptic segmentation training code from PSALM and trained HyperSeg, but the maximum PQ score of HyperSeg was 56.0.
Can you advise me on this result? Is there any difference from PSALM for panoptic segmentation training?