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Models/Ada-Segment (ResNet-101-DCN)

Ada-Segment (ResNet-101-DCN)

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· 2020-12-07
48.5
best: 59.5 (Mask DINO (single scale))
Ada-Segment: Automated Multi-loss Adaptation for Panoptic Segmentation arXiv:2012.03603
Semantic SegmentationonCOCO test-dev
PQst· 2020-12-07
37.6
best: 58.9 (MaskConver (ResNet50, single-scale))
Ada-Segment: Automated Multi-loss Adaptation for Panoptic Segmentation arXiv:2012.03603
Semantic SegmentationonCOCO test-dev
PQth· 2020-12-07
55.7
best: 65.1 (Mask2Former (Swin-L))
Ada-Segment: Automated Multi-loss Adaptation for Panoptic Segmentation arXiv:2012.03603

Audio3 results

10-shot image generationonCOCO test-dev
PQ· 2020-12-07
48.5
best: 59.5 (Mask DINO (single scale))
Ada-Segment: Automated Multi-loss Adaptation for Panoptic Segmentation arXiv:2012.03603
10-shot image generationonCOCO test-dev
PQst· 2020-12-07
37.6
best: 58.9 (MaskConver (ResNet50, single-scale))
Ada-Segment: Automated Multi-loss Adaptation for Panoptic Segmentation arXiv:2012.03603
10-shot image generationonCOCO test-dev
PQth· 2020-12-07
55.7
best: 65.1 (Mask2Former (Swin-L))
Ada-Segment: Automated Multi-loss Adaptation for Panoptic Segmentation arXiv:2012.03603

Computer Vision3 results

Panoptic SegmentationonCOCO test-dev
PQ· 2020-12-07
48.5
best: 59.5 (Mask DINO (single scale))
Ada-Segment: Automated Multi-loss Adaptation for Panoptic Segmentation arXiv:2012.03603
Panoptic SegmentationonCOCO test-dev
PQst· 2020-12-07
37.6
best: 58.9 (MaskConver (ResNet50, single-scale))
Ada-Segment: Automated Multi-loss Adaptation for Panoptic Segmentation arXiv:2012.03603
Panoptic SegmentationonCOCO test-dev
PQth· 2020-12-07
55.7
best: 65.1 (Mask2Former (Swin-L))
Ada-Segment: Automated Multi-loss Adaptation for Panoptic Segmentation arXiv:2012.03603