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Models/TASCNet

TASCNet

Reported on 9 benchmarks across 3 tasks · 1 paper · 9 SOTA

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· 2018-12-04
40.7
best: 59.5 (Mask DINO (single scale))
SOTA
Learning to Fuse Things and Stuff arXiv:1812.01192
Semantic SegmentationonCOCO test-dev
PQst· 2018-12-04
31
best: 58.9 (MaskConver (ResNet50, single-scale))
SOTA
Learning to Fuse Things and Stuff arXiv:1812.01192
Semantic SegmentationonCOCO test-dev
PQth· 2018-12-04
47
best: 65.1 (Mask2Former (Swin-L))
SOTA
Learning to Fuse Things and Stuff arXiv:1812.01192

Audio3 results

10-shot image generationonCOCO test-dev
PQ· 2018-12-04
40.7
best: 59.5 (Mask DINO (single scale))
SOTA
Learning to Fuse Things and Stuff arXiv:1812.01192
10-shot image generationonCOCO test-dev
PQst· 2018-12-04
31
best: 58.9 (MaskConver (ResNet50, single-scale))
SOTA
Learning to Fuse Things and Stuff arXiv:1812.01192
10-shot image generationonCOCO test-dev
PQth· 2018-12-04
47
best: 65.1 (Mask2Former (Swin-L))
SOTA
Learning to Fuse Things and Stuff arXiv:1812.01192

Computer Vision3 results

Panoptic SegmentationonCOCO test-dev
PQ· 2018-12-04
40.7
best: 59.5 (Mask DINO (single scale))
SOTA
Learning to Fuse Things and Stuff arXiv:1812.01192
Panoptic SegmentationonCOCO test-dev
PQst· 2018-12-04
31
best: 58.9 (MaskConver (ResNet50, single-scale))
SOTA
Learning to Fuse Things and Stuff arXiv:1812.01192
Panoptic SegmentationonCOCO test-dev
PQth· 2018-12-04
47
best: 65.1 (Mask2Former (Swin-L))
SOTA
Learning to Fuse Things and Stuff arXiv:1812.01192