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Models/R3-CNN (ResNet-50-FPN, GRoIE)

R3-CNN (ResNet-50-FPN, GRoIE)

Reported on 21 benchmarks across 6 tasks · 1 paper

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

Methodology12 results

3DonCOCO minival
AP50· 2021-04-03
61.2
best: 82.1 (EVA)
Recursively Refined R-CNN: Instance Segmentation with Self-RoI Rebalancing arXiv:2104.01329
3DonCOCO minival
AP75· 2021-04-03
45.6
best: 71.4 (Focal-Stable-DINO (Focal-Huge, no TTA))
Recursively Refined R-CNN: Instance Segmentation with Self-RoI Rebalancing arXiv:2104.01329
3DonCOCO minival
APS· 2021-04-03
24.4
best: 50.4 (Focal-Stable-DINO (Focal-Huge, no TTA))
Recursively Refined R-CNN: Instance Segmentation with Self-RoI Rebalancing arXiv:2104.01329
2D ClassificationonCOCO minival
AP50· 2021-04-03
61.2
best: 82.1 (EVA)
Recursively Refined R-CNN: Instance Segmentation with Self-RoI Rebalancing arXiv:2104.01329
2D ClassificationonCOCO minival
AP75· 2021-04-03
45.6
best: 71.4 (Focal-Stable-DINO (Focal-Huge, no TTA))
Recursively Refined R-CNN: Instance Segmentation with Self-RoI Rebalancing arXiv:2104.01329
2D ClassificationonCOCO minival
APS· 2021-04-03
24.4
best: 50.4 (Focal-Stable-DINO (Focal-Huge, no TTA))
Recursively Refined R-CNN: Instance Segmentation with Self-RoI Rebalancing arXiv:2104.01329
2D Object DetectiononCOCO minival
AP50· 2021-04-03
61.2
best: 82.1 (EVA)
Recursively Refined R-CNN: Instance Segmentation with Self-RoI Rebalancing arXiv:2104.01329
2D Object DetectiononCOCO minival
AP75· 2021-04-03
45.6
best: 71.4 (Focal-Stable-DINO (Focal-Huge, no TTA))
Recursively Refined R-CNN: Instance Segmentation with Self-RoI Rebalancing arXiv:2104.01329
2D Object DetectiononCOCO minival
APS· 2021-04-03
24.4
best: 50.4 (Focal-Stable-DINO (Focal-Huge, no TTA))
Recursively Refined R-CNN: Instance Segmentation with Self-RoI Rebalancing arXiv:2104.01329
16konCOCO minival
AP50· 2021-04-03
61.2
best: 82.1 (EVA)
Recursively Refined R-CNN: Instance Segmentation with Self-RoI Rebalancing arXiv:2104.01329
16konCOCO minival
AP75· 2021-04-03
45.6
best: 71.4 (Focal-Stable-DINO (Focal-Huge, no TTA))
Recursively Refined R-CNN: Instance Segmentation with Self-RoI Rebalancing arXiv:2104.01329
16konCOCO minival
APS· 2021-04-03
24.4
best: 50.4 (Focal-Stable-DINO (Focal-Huge, no TTA))
Recursively Refined R-CNN: Instance Segmentation with Self-RoI Rebalancing arXiv:2104.01329

Computer Vision9 results

Object DetectiononCOCO minival
AP50· 2021-04-03
61.2
best: 82.1 (EVA)
Recursively Refined R-CNN: Instance Segmentation with Self-RoI Rebalancing arXiv:2104.01329
Object DetectiononCOCO minival
AP75· 2021-04-03
45.6
best: 71.4 (Focal-Stable-DINO (Focal-Huge, no TTA))
Recursively Refined R-CNN: Instance Segmentation with Self-RoI Rebalancing arXiv:2104.01329
Object DetectiononCOCO minival
APS· 2021-04-03
24.4
best: 50.4 (Focal-Stable-DINO (Focal-Huge, no TTA))
Recursively Refined R-CNN: Instance Segmentation with Self-RoI Rebalancing arXiv:2104.01329
Instance SegmentationonCOCO minival
AP50· 2021-04-03
58.8
best: 80.1 (InternImage-H)
Recursively Refined R-CNN: Instance Segmentation with Self-RoI Rebalancing arXiv:2104.01329
Instance SegmentationonCOCO minival
AP75· 2021-04-03
42.3
best: 62.8 (Co-DETR)
Recursively Refined R-CNN: Instance Segmentation with Self-RoI Rebalancing arXiv:2104.01329
Instance SegmentationonCOCO minival
APL· 2021-04-03
54.3
best: 74.6 (Co-DETR)
Recursively Refined R-CNN: Instance Segmentation with Self-RoI Rebalancing arXiv:2104.01329
Instance SegmentationonCOCO minival
APM· 2021-04-03
42.1
best: 59.7 (Co-DETR)
Recursively Refined R-CNN: Instance Segmentation with Self-RoI Rebalancing arXiv:2104.01329
Instance SegmentationonCOCO minival
APS· 2021-04-03
20.7
best: 38.9 (Co-DETR)
Recursively Refined R-CNN: Instance Segmentation with Self-RoI Rebalancing arXiv:2104.01329
Instance SegmentationonCOCO minival
mask AP· 2021-04-03
39.1
best: 56.6 (Co-DETR)
Recursively Refined R-CNN: Instance Segmentation with Self-RoI Rebalancing arXiv:2104.01329