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Models/GFL (X-101-32x4d-DCN, single-scale)

GFL (X-101-32x4d-DCN, single-scale)

Reported on 30 benchmarks across 5 tasks · 1 paper

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

Methodology24 results

3DonCOCO test-dev
AP50· 2020-06-08
67.4
best: 95 (ViTPose (ViTAE-G, ensemble))
Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection arXiv:2006.04388
3DonCOCO test-dev
AP75· 2020-06-08
52.6
best: 88.2 (ViTPose (ViTAE-G, ensemble))
Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection arXiv:2006.04388
3DonCOCO test-dev
APL· 2020-06-08
60.2
best: 86.5 (PoseBH-H)
Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection arXiv:2006.04388
3DonCOCO test-dev
APM· 2020-06-08
51.7
best: 83.8 (4xRSN-50 (ensemble))
Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection arXiv:2006.04388
3DonCOCO test-dev
APS· 2020-06-08
29.2
best: 48.6 (Focal-Stable-DINO (Focal-Huge, no TTA))
Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection arXiv:2006.04388
3DonCOCO test-dev
box mAP· 2020-06-08
48.2
best: 66 (Co-DETR)
Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection arXiv:2006.04388
2D ClassificationonCOCO test-dev
AP50· 2020-06-08
67.4
best: 82.1 (Plain-DETR (Swin-L))
Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection arXiv:2006.04388
2D ClassificationonCOCO test-dev
AP75· 2020-06-08
52.6
best: 71.7 (EVA)
Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection arXiv:2006.04388
2D ClassificationonCOCO test-dev
APL· 2020-06-08
60.2
best: 78 (Focal-Stable-DINO (Focal-Huge, no TTA))
Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection arXiv:2006.04388
2D ClassificationonCOCO test-dev
APM· 2020-06-08
51.7
best: 67.7 (EVA)
Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection arXiv:2006.04388
2D ClassificationonCOCO test-dev
APS· 2020-06-08
29.2
best: 48.6 (Focal-Stable-DINO (Focal-Huge, no TTA))
Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection arXiv:2006.04388
2D ClassificationonCOCO test-dev
box mAP· 2020-06-08
48.2
best: 66 (Co-DETR)
Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection arXiv:2006.04388
2D Object DetectiononCOCO test-dev
AP50· 2020-06-08
67.4
best: 82.1 (Plain-DETR (Swin-L))
Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection arXiv:2006.04388
2D Object DetectiononCOCO test-dev
AP75· 2020-06-08
52.6
best: 71.7 (EVA)
Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection arXiv:2006.04388
2D Object DetectiononCOCO test-dev
APL· 2020-06-08
60.2
best: 78 (Focal-Stable-DINO (Focal-Huge, no TTA))
Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection arXiv:2006.04388
2D Object DetectiononCOCO test-dev
APM· 2020-06-08
51.7
best: 67.7 (EVA)
Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection arXiv:2006.04388
2D Object DetectiononCOCO test-dev
APS· 2020-06-08
29.2
best: 48.6 (Focal-Stable-DINO (Focal-Huge, no TTA))
Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection arXiv:2006.04388
2D Object DetectiononCOCO test-dev
box mAP· 2020-06-08
48.2
best: 66 (Co-DETR)
Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection arXiv:2006.04388
16konCOCO test-dev
AP50· 2020-06-08
67.4
best: 82.1 (Plain-DETR (Swin-L))
Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection arXiv:2006.04388
16konCOCO test-dev
AP75· 2020-06-08
52.6
best: 71.7 (EVA)
Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection arXiv:2006.04388
16konCOCO test-dev
APL· 2020-06-08
60.2
best: 78 (Focal-Stable-DINO (Focal-Huge, no TTA))
Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection arXiv:2006.04388
16konCOCO test-dev
APM· 2020-06-08
51.7
best: 67.7 (EVA)
Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection arXiv:2006.04388
16konCOCO test-dev
APS· 2020-06-08
29.2
best: 48.6 (Focal-Stable-DINO (Focal-Huge, no TTA))
Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection arXiv:2006.04388
16konCOCO test-dev
box mAP· 2020-06-08
48.2
best: 66 (Co-DETR)
Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection arXiv:2006.04388

Computer Vision6 results

Object DetectiononCOCO test-dev
AP50· 2020-06-08
67.4
best: 82.1 (Plain-DETR (Swin-L))
Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection arXiv:2006.04388
Object DetectiononCOCO test-dev
AP75· 2020-06-08
52.6
best: 71.7 (EVA)
Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection arXiv:2006.04388
Object DetectiononCOCO test-dev
APL· 2020-06-08
60.2
best: 78 (Focal-Stable-DINO (Focal-Huge, no TTA))
Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection arXiv:2006.04388
Object DetectiononCOCO test-dev
APM· 2020-06-08
51.7
best: 67.7 (EVA)
Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection arXiv:2006.04388
Object DetectiononCOCO test-dev
APS· 2020-06-08
29.2
best: 48.6 (Focal-Stable-DINO (Focal-Huge, no TTA))
Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection arXiv:2006.04388
Object DetectiononCOCO test-dev
box mAP· 2020-06-08
48.2
best: 66 (Co-DETR)
Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection arXiv:2006.04388