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Models/JPPF

JPPF

Reported on 4 benchmarks across 3 tasks · 2 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

Part-aware Panoptic SegmentationonCityscapes Panoptic Parts
PartPQ· 2023-11-30
63.3
best: 64.8 (TAPPS (Swin-B, COCO pre-training))
SOTA
JPPF: Multi-task Fusion for Consistent Panoptic-Part Segmentation arXiv:2311.18618
Part-aware Panoptic SegmentationonPascal Panoptic Parts
PartPQ· 2023-11-30
40.5
best: 60.4 (TAPPS (Swin-B, COCO pre-training))
SOTA
JPPF: Multi-task Fusion for Consistent Panoptic-Part Segmentation arXiv:2311.18618
Part-aware Panoptic SegmentationonCityscapes Panoptic Parts
PartPQ· 2022-12-15
61.8
best: 64.8 (TAPPS (Swin-B, COCO pre-training))
Multi-task Fusion for Efficient Panoptic-Part Segmentation arXiv:2212.07671
Part-aware Panoptic SegmentationonPascal Panoptic Parts
PartPQ· 2022-12-15
32.3
best: 60.4 (TAPPS (Swin-B, COCO pre-training))
Multi-task Fusion for Efficient Panoptic-Part Segmentation arXiv:2212.07671
Image SegmentationonPascal Panoptic Parts
mIoUPartS· 2022-12-15
54.4
best: 63.8 (HIPIE (ViT-H))
Multi-task Fusion for Efficient Panoptic-Part Segmentation arXiv:2212.07671

Audio1 result

2D Semantic SegmentationonPascal Panoptic Parts
mIoUPartS· 2022-12-15
54.4
best: 63.8 (HIPIE (ViT-H))
Multi-task Fusion for Efficient Panoptic-Part Segmentation arXiv:2212.07671