Tasks SotA Datasets Papers Methods Submit About

Papers With Code 2

A community resource for machine learning research: papers, code, benchmarks, and state-of-the-art results.

Explore

Notable Benchmarks All SotA Datasets Papers Methods

Community

Submit Results About

Data sourced from the PWC Archive (CC-BY-SA 4.0). Built by the community, for the community.

Models/Panoptic-DeepLab (SWideRNet [1, 1, 4.5], Mapillary Vistas, multi-scale)

Panoptic-DeepLab (SWideRNet [1, 1, 4.5], Mapillary Vistas, multi-scale)

Reported on 9 benchmarks across 3 tasks · 1 paper · 6 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Medical3 results

Semantic SegmentationonCityscapes val
AP· uses extra data· 2020-11-23
46.8
best: 50.6 (ViT-P (OneFormer, InternImage-H))
SOTA
Scaling Wide Residual Networks for Panoptic Segmentation arXiv:2011.11675
Semantic SegmentationonCityscapes val
PQ· uses extra data· 2020-11-23
69.6
best: 70.8 (ViT-P (OneFormer, InternImage-H))
SOTA
Scaling Wide Residual Networks for Panoptic Segmentation arXiv:2011.11675
Semantic SegmentationonCityscapes val
mIoU· uses extra data· 2020-11-23
85.3
best: 90.3 (EfficientPS (Cityscapes-fine))
Scaling Wide Residual Networks for Panoptic Segmentation arXiv:2011.11675

Audio3 results

10-shot image generationonCityscapes val
AP· uses extra data· 2020-11-23
46.8
best: 50.6 (ViT-P (OneFormer, InternImage-H))
SOTA
Scaling Wide Residual Networks for Panoptic Segmentation arXiv:2011.11675
10-shot image generationonCityscapes val
PQ· uses extra data· 2020-11-23
69.6
best: 70.8 (ViT-P (OneFormer, InternImage-H))
SOTA
Scaling Wide Residual Networks for Panoptic Segmentation arXiv:2011.11675
10-shot image generationonCityscapes val
mIoU· uses extra data· 2020-11-23
85.3
best: 90.3 (EfficientPS (Cityscapes-fine))
Scaling Wide Residual Networks for Panoptic Segmentation arXiv:2011.11675

Computer Vision3 results

Panoptic SegmentationonCityscapes val
AP· uses extra data· 2020-11-23
46.8
best: 50.6 (ViT-P (OneFormer, InternImage-H))
SOTA
Scaling Wide Residual Networks for Panoptic Segmentation arXiv:2011.11675
Panoptic SegmentationonCityscapes val
PQ· uses extra data· 2020-11-23
69.6
best: 70.8 (ViT-P (OneFormer, InternImage-H))
SOTA
Scaling Wide Residual Networks for Panoptic Segmentation arXiv:2011.11675
Panoptic SegmentationonCityscapes val
mIoU· uses extra data· 2020-11-23
85.3
best: 90.3 (EfficientPS (Cityscapes-fine))
Scaling Wide Residual Networks for Panoptic Segmentation arXiv:2011.11675