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/EfficientPS (Cityscapes-fine)

EfficientPS (Cityscapes-fine)

Reported on 18 benchmarks across 3 tasks · 1 paper · 3 SOTA

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

Medical6 results

Semantic SegmentationonCityscapes val
mIoU· 2020-04-05
90.3
SOTA
EfficientPS: Efficient Panoptic Segmentation arXiv:2004.02307
Semantic SegmentationonCityscapes test
PQ· 2020-04-05
62.9
best: 68 (OneFormer (ConvNeXt-L, single-scale, Mapillary Vistas-Pretrained))
EfficientPS: Efficient Panoptic Segmentation arXiv:2004.02307
Semantic SegmentationonCityscapes val
AP· 2020-04-05
39.1
best: 50.6 (ViT-P (OneFormer, InternImage-H))
EfficientPS: Efficient Panoptic Segmentation arXiv:2004.02307
Semantic SegmentationonCityscapes val
PQ· 2020-04-05
64.9
best: 70.8 (ViT-P (OneFormer, InternImage-H))
EfficientPS: Efficient Panoptic Segmentation arXiv:2004.02307
Semantic SegmentationonCityscapes val
PQst· 2020-04-05
67.7
best: 74.1 (OneFormer (ConvNeXt-L, single-scale, 512x1024, Mapillary Vistas-pretrained))
EfficientPS: Efficient Panoptic Segmentation arXiv:2004.02307
Semantic SegmentationonCityscapes val
PQth· 2020-04-05
61
best: 64.6 (OneFormer (ConvNeXt-L, single-scale, 512x1024, Mapillary Vistas-pretrained))
EfficientPS: Efficient Panoptic Segmentation arXiv:2004.02307

Audio6 results

10-shot image generationonCityscapes val
mIoU· 2020-04-05
90.3
SOTA
EfficientPS: Efficient Panoptic Segmentation arXiv:2004.02307
10-shot image generationonCityscapes test
PQ· 2020-04-05
62.9
best: 68 (OneFormer (ConvNeXt-L, single-scale, Mapillary Vistas-Pretrained))
EfficientPS: Efficient Panoptic Segmentation arXiv:2004.02307
10-shot image generationonCityscapes val
AP· 2020-04-05
39.1
best: 50.6 (ViT-P (OneFormer, InternImage-H))
EfficientPS: Efficient Panoptic Segmentation arXiv:2004.02307
10-shot image generationonCityscapes val
PQ· 2020-04-05
64.9
best: 70.8 (ViT-P (OneFormer, InternImage-H))
EfficientPS: Efficient Panoptic Segmentation arXiv:2004.02307
10-shot image generationonCityscapes val
PQst· 2020-04-05
67.7
best: 74.1 (OneFormer (ConvNeXt-L, single-scale, 512x1024, Mapillary Vistas-pretrained))
EfficientPS: Efficient Panoptic Segmentation arXiv:2004.02307
10-shot image generationonCityscapes val
PQth· 2020-04-05
61
best: 64.6 (OneFormer (ConvNeXt-L, single-scale, 512x1024, Mapillary Vistas-pretrained))
EfficientPS: Efficient Panoptic Segmentation arXiv:2004.02307

Computer Vision6 results

Panoptic SegmentationonCityscapes val
mIoU· 2020-04-05
90.3
SOTA
EfficientPS: Efficient Panoptic Segmentation arXiv:2004.02307
Panoptic SegmentationonCityscapes test
PQ· 2020-04-05
62.9
best: 68 (OneFormer (ConvNeXt-L, single-scale, Mapillary Vistas-Pretrained))
EfficientPS: Efficient Panoptic Segmentation arXiv:2004.02307
Panoptic SegmentationonCityscapes val
AP· 2020-04-05
39.1
best: 50.6 (ViT-P (OneFormer, InternImage-H))
EfficientPS: Efficient Panoptic Segmentation arXiv:2004.02307
Panoptic SegmentationonCityscapes val
PQ· 2020-04-05
64.9
best: 70.8 (ViT-P (OneFormer, InternImage-H))
EfficientPS: Efficient Panoptic Segmentation arXiv:2004.02307
Panoptic SegmentationonCityscapes val
PQst· 2020-04-05
67.7
best: 74.1 (OneFormer (ConvNeXt-L, single-scale, 512x1024, Mapillary Vistas-pretrained))
EfficientPS: Efficient Panoptic Segmentation arXiv:2004.02307
Panoptic SegmentationonCityscapes val
PQth· 2020-04-05
61
best: 64.6 (OneFormer (ConvNeXt-L, single-scale, 512x1024, Mapillary Vistas-pretrained))
EfficientPS: Efficient Panoptic Segmentation arXiv:2004.02307