Panoptic-Deeplab

Reported on 3 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.

Medical1 result

Semantic SegmentationonCityscapes test
PQ· uses extra data· 2019-11-22
65.5
best: 68 (OneFormer (ConvNeXt-L, single-scale, Mapillary Vistas-Pretrained))
SOTA
Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation arXiv:1911.10194

Audio1 result

10-shot image generationonCityscapes test
PQ· uses extra data· 2019-11-22
65.5
best: 68 (OneFormer (ConvNeXt-L, single-scale, Mapillary Vistas-Pretrained))
SOTA
Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation arXiv:1911.10194

Computer Vision1 result

Panoptic SegmentationonCityscapes test
PQ· uses extra data· 2019-11-22
65.5
best: 68 (OneFormer (ConvNeXt-L, single-scale, Mapillary Vistas-Pretrained))
SOTA
Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation arXiv:1911.10194