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Models/Dynamically Instantiated Network (ResNet-101)

Dynamically Instantiated Network (ResNet-101)

Reported on 15 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.

Medical5 results

Semantic SegmentationonCityscapes val
mIoU· 2018-08-10
79.8
best: 90.3 (EfficientPS (Cityscapes-fine))
SOTA
Weakly- and Semi-Supervised Panoptic Segmentation arXiv:1808.03575
Semantic SegmentationonCityscapes val
AP· 2018-08-10
28.6
best: 50.6 (ViT-P (OneFormer, InternImage-H))
Weakly- and Semi-Supervised Panoptic Segmentation arXiv:1808.03575
Semantic SegmentationonCityscapes val
PQ· 2018-08-10
53.8
best: 70.8 (ViT-P (OneFormer, InternImage-H))
Weakly- and Semi-Supervised Panoptic Segmentation arXiv:1808.03575
Semantic SegmentationonCityscapes val
PQst· 2018-08-10
62.1
best: 74.1 (OneFormer (ConvNeXt-L, single-scale, 512x1024, Mapillary Vistas-pretrained))
Weakly- and Semi-Supervised Panoptic Segmentation arXiv:1808.03575
Semantic SegmentationonCityscapes val
PQth· 2018-08-10
42.5
best: 64.6 (OneFormer (ConvNeXt-L, single-scale, 512x1024, Mapillary Vistas-pretrained))
Weakly- and Semi-Supervised Panoptic Segmentation arXiv:1808.03575

Audio5 results

10-shot image generationonCityscapes val
mIoU· 2018-08-10
79.8
best: 90.3 (EfficientPS (Cityscapes-fine))
SOTA
Weakly- and Semi-Supervised Panoptic Segmentation arXiv:1808.03575
10-shot image generationonCityscapes val
AP· 2018-08-10
28.6
best: 50.6 (ViT-P (OneFormer, InternImage-H))
Weakly- and Semi-Supervised Panoptic Segmentation arXiv:1808.03575
10-shot image generationonCityscapes val
PQ· 2018-08-10
53.8
best: 70.8 (ViT-P (OneFormer, InternImage-H))
Weakly- and Semi-Supervised Panoptic Segmentation arXiv:1808.03575
10-shot image generationonCityscapes val
PQst· 2018-08-10
62.1
best: 74.1 (OneFormer (ConvNeXt-L, single-scale, 512x1024, Mapillary Vistas-pretrained))
Weakly- and Semi-Supervised Panoptic Segmentation arXiv:1808.03575
10-shot image generationonCityscapes val
PQth· 2018-08-10
42.5
best: 64.6 (OneFormer (ConvNeXt-L, single-scale, 512x1024, Mapillary Vistas-pretrained))
Weakly- and Semi-Supervised Panoptic Segmentation arXiv:1808.03575

Computer Vision5 results

Panoptic SegmentationonCityscapes val
mIoU· 2018-08-10
79.8
best: 90.3 (EfficientPS (Cityscapes-fine))
SOTA
Weakly- and Semi-Supervised Panoptic Segmentation arXiv:1808.03575
Panoptic SegmentationonCityscapes val
AP· 2018-08-10
28.6
best: 50.6 (ViT-P (OneFormer, InternImage-H))
Weakly- and Semi-Supervised Panoptic Segmentation arXiv:1808.03575
Panoptic SegmentationonCityscapes val
PQ· 2018-08-10
53.8
best: 70.8 (ViT-P (OneFormer, InternImage-H))
Weakly- and Semi-Supervised Panoptic Segmentation arXiv:1808.03575
Panoptic SegmentationonCityscapes val
PQst· 2018-08-10
62.1
best: 74.1 (OneFormer (ConvNeXt-L, single-scale, 512x1024, Mapillary Vistas-pretrained))
Weakly- and Semi-Supervised Panoptic Segmentation arXiv:1808.03575
Panoptic SegmentationonCityscapes val
PQth· 2018-08-10
42.5
best: 64.6 (OneFormer (ConvNeXt-L, single-scale, 512x1024, Mapillary Vistas-pretrained))
Weakly- and Semi-Supervised Panoptic Segmentation arXiv:1808.03575