MUSES (Mask2Former /w 4xSwin-T)

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 SegmentationonMUSES: MUlti-SEnsor Semantic perception dataset
PQ· 2024-01-23
53.6
best: 59.7 (CAFuser (Swin-T))
SOTA
MUSES: The Multi-Sensor Semantic Perception Dataset for Driving under Uncertainty arXiv:2401.12761

Audio1 result

10-shot image generationonMUSES: MUlti-SEnsor Semantic perception dataset
PQ· 2024-01-23
53.6
best: 59.7 (CAFuser (Swin-T))
SOTA
MUSES: The Multi-Sensor Semantic Perception Dataset for Driving under Uncertainty arXiv:2401.12761

Computer Vision1 result

Panoptic SegmentationonMUSES: MUlti-SEnsor Semantic perception dataset
PQ· 2024-01-23
53.6
best: 59.7 (CAFuser (Swin-T))
SOTA
MUSES: The Multi-Sensor Semantic Perception Dataset for Driving under Uncertainty arXiv:2401.12761