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Models/Unified Perception

Unified Perception

Reported on 9 benchmarks across 3 tasks · 1 paper

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

Medical3 results

Semantic SegmentationonKITTI-STEP
AQ· 2023-03-03
56.4
best: 73 (Video K-Net (Swin-L))
Unified Perception: Efficient Depth-Aware Video Panoptic Segmentation with Minimal Annotation Costs arXiv:2303.01991
Semantic SegmentationonKITTI-STEP
SQ· 2023-03-03
61.9
best: 75 (Video K-Net (Swin-L))
Unified Perception: Efficient Depth-Aware Video Panoptic Segmentation with Minimal Annotation Costs arXiv:2303.01991
Semantic SegmentationonKITTI-STEP
STQ· 2023-03-03
59.1
best: 74 (Video K-Net (Swin-L))
Unified Perception: Efficient Depth-Aware Video Panoptic Segmentation with Minimal Annotation Costs arXiv:2303.01991

Audio3 results

10-shot image generationonKITTI-STEP
AQ· 2023-03-03
56.4
best: 73 (Video K-Net (Swin-L))
Unified Perception: Efficient Depth-Aware Video Panoptic Segmentation with Minimal Annotation Costs arXiv:2303.01991
10-shot image generationonKITTI-STEP
SQ· 2023-03-03
61.9
best: 75 (Video K-Net (Swin-L))
Unified Perception: Efficient Depth-Aware Video Panoptic Segmentation with Minimal Annotation Costs arXiv:2303.01991
10-shot image generationonKITTI-STEP
STQ· 2023-03-03
59.1
best: 74 (Video K-Net (Swin-L))
Unified Perception: Efficient Depth-Aware Video Panoptic Segmentation with Minimal Annotation Costs arXiv:2303.01991

Computer Vision3 results

Panoptic SegmentationonKITTI-STEP
AQ· 2023-03-03
56.4
best: 73 (Video K-Net (Swin-L))
Unified Perception: Efficient Depth-Aware Video Panoptic Segmentation with Minimal Annotation Costs arXiv:2303.01991
Panoptic SegmentationonKITTI-STEP
SQ· 2023-03-03
61.9
best: 75 (Video K-Net (Swin-L))
Unified Perception: Efficient Depth-Aware Video Panoptic Segmentation with Minimal Annotation Costs arXiv:2303.01991
Panoptic SegmentationonKITTI-STEP
STQ· 2023-03-03
59.1
best: 74 (Video K-Net (Swin-L))
Unified Perception: Efficient Depth-Aware Video Panoptic Segmentation with Minimal Annotation Costs arXiv:2303.01991