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Models/Panoptic-DeepLab (SWideRNet-(1, 1, 4.5), multi-scale)

Panoptic-DeepLab (SWideRNet-(1, 1, 4.5), multi-scale)

Reported on 12 benchmarks across 3 tasks · 1 paper · 12 SOTA

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

Medical4 results

Semantic SegmentationonMapillary val
PQ· 2020-11-23
44.8
best: 46.7 (OneFormer (DiNAT-L, single-scale))
SOTA
Scaling Wide Residual Networks for Panoptic Segmentation arXiv:2011.11675
Semantic SegmentationonMapillary val
PQst· 2020-11-23
51.9
best: 54.9 (OneFormer (DiNAT-L, single-scale))
SOTA
Scaling Wide Residual Networks for Panoptic Segmentation arXiv:2011.11675
Semantic SegmentationonMapillary val
PQth· 2020-11-23
39.3
best: 40.8 (Panoptic FCN* (Swin-L, single-scale))
SOTA
Scaling Wide Residual Networks for Panoptic Segmentation arXiv:2011.11675
Semantic SegmentationonMapillary val
mIoU· 2020-11-23
60
best: 76 (AO-SegNet)
SOTA
Scaling Wide Residual Networks for Panoptic Segmentation arXiv:2011.11675

Audio4 results

10-shot image generationonMapillary val
PQ· 2020-11-23
44.8
best: 46.7 (OneFormer (DiNAT-L, single-scale))
SOTA
Scaling Wide Residual Networks for Panoptic Segmentation arXiv:2011.11675
10-shot image generationonMapillary val
PQst· 2020-11-23
51.9
best: 54.9 (OneFormer (DiNAT-L, single-scale))
SOTA
Scaling Wide Residual Networks for Panoptic Segmentation arXiv:2011.11675
10-shot image generationonMapillary val
PQth· 2020-11-23
39.3
best: 40.8 (Panoptic FCN* (Swin-L, single-scale))
SOTA
Scaling Wide Residual Networks for Panoptic Segmentation arXiv:2011.11675
10-shot image generationonMapillary val
mIoU· 2020-11-23
60
best: 76 (AO-SegNet)
SOTA
Scaling Wide Residual Networks for Panoptic Segmentation arXiv:2011.11675

Computer Vision4 results

Panoptic SegmentationonMapillary val
PQ· 2020-11-23
44.8
best: 46.7 (OneFormer (DiNAT-L, single-scale))
SOTA
Scaling Wide Residual Networks for Panoptic Segmentation arXiv:2011.11675
Panoptic SegmentationonMapillary val
PQst· 2020-11-23
51.9
best: 54.9 (OneFormer (DiNAT-L, single-scale))
SOTA
Scaling Wide Residual Networks for Panoptic Segmentation arXiv:2011.11675
Panoptic SegmentationonMapillary val
PQth· 2020-11-23
39.3
best: 40.8 (Panoptic FCN* (Swin-L, single-scale))
SOTA
Scaling Wide Residual Networks for Panoptic Segmentation arXiv:2011.11675
Panoptic SegmentationonMapillary val
mIoU· 2020-11-23
60
best: 61.7 (OneFormer (DiNAT-L, single-scale))
SOTA
Scaling Wide Residual Networks for Panoptic Segmentation arXiv:2011.11675