Cheng, Bowen, et al. "Panoptic-deeplab: A simple, strong, and fast baseline for bottom-up panoptic segmentation." Proceedings of the IEEE/CVF conference on computer vision and pattern recognition. 2020.
Model | Backbone | Resolution | Training Iters | PQ | mIoU | mAP50 | Links |
---|---|---|---|---|---|---|---|
Panoptic-DeepLab | ResNet50-vd | 1025x513 | 90k | 60.32% | 46.34% | 79.68% | config | model |
- The models were trained using 8 GPUs.
- We observed better performance by using the input resolution of 1025x513 instead of 1024x512 and setting
align_corners
to True during training.