Skip to content

Latest commit

 

History

History
16 lines (10 loc) · 934 Bytes

README.md

File metadata and controls

16 lines (10 loc) · 934 Bytes
Raw

Panoptic-Deeplab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation

Reference

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.

Performance

Cityscapes

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.