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Models/Mask2Former

Mask2Former

Reported on 8 benchmarks across 6 tasks · 4 papers · 2 SOTA

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

Computer Vision5 results

Continual Semantic SegmentationonADE20K
mIoU· 2022-11-25
36.7
best: 37.5 (LGKD)
SOTA
CoMFormer: Continual Learning in Semantic and Panoptic Segmentation arXiv:2211.13999
Instance SegmentationonARMBench
AP50· 2024-07-01
81.2
best: 86.37 (RISE (VIT-B))
Robot Instance Segmentation with Few Annotations for Grasping arXiv:2407.01302
Instance SegmentationonARMBench
AP75· 2024-07-01
74
best: 77.51 (RISE (VIT-B))
Robot Instance Segmentation with Few Annotations for Grasping arXiv:2407.01302
Instance SegmentationonOCHuman
AP· 2023-03-13
27.8
best: 55.2 (Pose2Seg (plus ground-truth keypoints))
Object-Centric Multi-Task Learning for Human Instances arXiv:2303.06800
Human Instance SegmentationonOCHuman
AP· 2023-03-13
27.8
best: 55.2 (Pose2Seg (plus ground-truth keypoints))
Object-Centric Multi-Task Learning for Human Instances arXiv:2303.06800

Audio2 results

2D Semantic SegmentationonADE20K
mIoU· 2022-11-25
36.7
best: 37.5 (LGKD)
SOTA
CoMFormer: Continual Learning in Semantic and Panoptic Segmentation arXiv:2211.13999
10-shot image generationonFine-Grained Grass Segmentation Dataset
mIoU· 2021-12-02
44.93
best: 51.96 (D2LS)
Masked-attention Mask Transformer for Universal Image Segmentation arXiv:2112.01527

Medical1 result

Semantic SegmentationonFine-Grained Grass Segmentation Dataset
mIoU· 2021-12-02
44.93
best: 51.96 (D2LS)
Masked-attention Mask Transformer for Universal Image Segmentation arXiv:2112.01527