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Models/OCFusion (ResNeXt-101-FPN)

OCFusion (ResNeXt-101-FPN)

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 SegmentationonCOCO test-dev
PQ· 2019-06-13
46.6
best: 59.5 (Mask DINO (single scale))
Learning Instance Occlusion for Panoptic Segmentation arXiv:1906.05896
Semantic SegmentationonCOCO test-dev
PQst· 2019-06-13
35.7
best: 58.9 (MaskConver (ResNet50, single-scale))
Learning Instance Occlusion for Panoptic Segmentation arXiv:1906.05896
Semantic SegmentationonCOCO test-dev
PQth· 2019-06-13
54
best: 65.1 (Mask2Former (Swin-L))
Learning Instance Occlusion for Panoptic Segmentation arXiv:1906.05896

Audio3 results

10-shot image generationonCOCO test-dev
PQ· 2019-06-13
46.6
best: 59.5 (Mask DINO (single scale))
Learning Instance Occlusion for Panoptic Segmentation arXiv:1906.05896
10-shot image generationonCOCO test-dev
PQst· 2019-06-13
35.7
best: 58.9 (MaskConver (ResNet50, single-scale))
Learning Instance Occlusion for Panoptic Segmentation arXiv:1906.05896
10-shot image generationonCOCO test-dev
PQth· 2019-06-13
54
best: 65.1 (Mask2Former (Swin-L))
Learning Instance Occlusion for Panoptic Segmentation arXiv:1906.05896

Computer Vision3 results

Panoptic SegmentationonCOCO test-dev
PQ· 2019-06-13
46.6
best: 59.5 (Mask DINO (single scale))
Learning Instance Occlusion for Panoptic Segmentation arXiv:1906.05896
Panoptic SegmentationonCOCO test-dev
PQst· 2019-06-13
35.7
best: 58.9 (MaskConver (ResNet50, single-scale))
Learning Instance Occlusion for Panoptic Segmentation arXiv:1906.05896
Panoptic SegmentationonCOCO test-dev
PQth· 2019-06-13
54
best: 65.1 (Mask2Former (Swin-L))
Learning Instance Occlusion for Panoptic Segmentation arXiv:1906.05896