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Models/Faster R-CNN (ImageNet+300M)

Faster R-CNN (ImageNet+300M)

Reported on 41 benchmarks across 7 tasks · 1 paper

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

Methodology29 results

3DonCOCO test-dev
AP50· 2017-07-10
58
best: 95 (ViTPose (ViTAE-G, ensemble))
Revisiting Unreasonable Effectiveness of Data in Deep Learning Era arXiv:1707.02968
3DonCOCO test-dev
AP75· 2017-07-10
40.1
best: 88.2 (ViTPose (ViTAE-G, ensemble))
Revisiting Unreasonable Effectiveness of Data in Deep Learning Era arXiv:1707.02968
3DonCOCO test-dev
APL· 2017-07-10
51.2
best: 86.5 (PoseBH-H)
Revisiting Unreasonable Effectiveness of Data in Deep Learning Era arXiv:1707.02968
3DonCOCO test-dev
APM· 2017-07-10
41.1
best: 83.8 (4xRSN-50 (ensemble))
Revisiting Unreasonable Effectiveness of Data in Deep Learning Era arXiv:1707.02968
3DonCOCO test-dev
APS· 2017-07-10
17.5
best: 48.6 (Focal-Stable-DINO (Focal-Huge, no TTA))
Revisiting Unreasonable Effectiveness of Data in Deep Learning Era arXiv:1707.02968
3DonCOCO test-dev
box mAP· 2017-07-10
37.4
best: 66 (Co-DETR)
Revisiting Unreasonable Effectiveness of Data in Deep Learning Era arXiv:1707.02968
3DonCOCO test-dev
AP· uses extra data· 2017-07-10
64.4
best: 81.1 (ViTPose (ViTAE-G, ensemble))
Revisiting Unreasonable Effectiveness of Data in Deep Learning Era arXiv:1707.02968
3DonCOCO test-dev
AP50· uses extra data· 2017-07-10
85.7
best: 95 (ViTPose (ViTAE-G, ensemble))
Revisiting Unreasonable Effectiveness of Data in Deep Learning Era arXiv:1707.02968
3DonCOCO test-dev
AP75· uses extra data· 2017-07-10
70.7
best: 88.2 (ViTPose (ViTAE-G, ensemble))
Revisiting Unreasonable Effectiveness of Data in Deep Learning Era arXiv:1707.02968
3DonCOCO test-dev
APL· uses extra data· 2017-07-10
69.8
best: 86.5 (PoseBH-H)
Revisiting Unreasonable Effectiveness of Data in Deep Learning Era arXiv:1707.02968
3DonCOCO test-dev
APM· uses extra data· 2017-07-10
61.8
best: 83.8 (4xRSN-50 (ensemble))
Revisiting Unreasonable Effectiveness of Data in Deep Learning Era arXiv:1707.02968
2D ClassificationonCOCO test-dev
AP50· 2017-07-10
58
best: 82.1 (Plain-DETR (Swin-L))
Revisiting Unreasonable Effectiveness of Data in Deep Learning Era arXiv:1707.02968
2D ClassificationonCOCO test-dev
AP75· 2017-07-10
40.1
best: 71.7 (EVA)
Revisiting Unreasonable Effectiveness of Data in Deep Learning Era arXiv:1707.02968
2D ClassificationonCOCO test-dev
APL· 2017-07-10
51.2
best: 78 (Focal-Stable-DINO (Focal-Huge, no TTA))
Revisiting Unreasonable Effectiveness of Data in Deep Learning Era arXiv:1707.02968
2D ClassificationonCOCO test-dev
APM· 2017-07-10
41.1
best: 67.7 (EVA)
Revisiting Unreasonable Effectiveness of Data in Deep Learning Era arXiv:1707.02968
2D ClassificationonCOCO test-dev
APS· 2017-07-10
17.5
best: 48.6 (Focal-Stable-DINO (Focal-Huge, no TTA))
Revisiting Unreasonable Effectiveness of Data in Deep Learning Era arXiv:1707.02968
2D ClassificationonCOCO test-dev
box mAP· 2017-07-10
37.4
best: 66 (Co-DETR)
Revisiting Unreasonable Effectiveness of Data in Deep Learning Era arXiv:1707.02968
2D Object DetectiononCOCO test-dev
AP50· 2017-07-10
58
best: 82.1 (Plain-DETR (Swin-L))
Revisiting Unreasonable Effectiveness of Data in Deep Learning Era arXiv:1707.02968
2D Object DetectiononCOCO test-dev
AP75· 2017-07-10
40.1
best: 71.7 (EVA)
Revisiting Unreasonable Effectiveness of Data in Deep Learning Era arXiv:1707.02968
2D Object DetectiononCOCO test-dev
APL· 2017-07-10
51.2
best: 78 (Focal-Stable-DINO (Focal-Huge, no TTA))
Revisiting Unreasonable Effectiveness of Data in Deep Learning Era arXiv:1707.02968
2D Object DetectiononCOCO test-dev
APM· 2017-07-10
41.1
best: 67.7 (EVA)
Revisiting Unreasonable Effectiveness of Data in Deep Learning Era arXiv:1707.02968
2D Object DetectiononCOCO test-dev
APS· 2017-07-10
17.5
best: 48.6 (Focal-Stable-DINO (Focal-Huge, no TTA))
Revisiting Unreasonable Effectiveness of Data in Deep Learning Era arXiv:1707.02968
2D Object DetectiononCOCO test-dev
box mAP· 2017-07-10
37.4
best: 66 (Co-DETR)
Revisiting Unreasonable Effectiveness of Data in Deep Learning Era arXiv:1707.02968
16konCOCO test-dev
AP50· 2017-07-10
58
best: 82.1 (Plain-DETR (Swin-L))
Revisiting Unreasonable Effectiveness of Data in Deep Learning Era arXiv:1707.02968
16konCOCO test-dev
AP75· 2017-07-10
40.1
best: 71.7 (EVA)
Revisiting Unreasonable Effectiveness of Data in Deep Learning Era arXiv:1707.02968
16konCOCO test-dev
APL· 2017-07-10
51.2
best: 78 (Focal-Stable-DINO (Focal-Huge, no TTA))
Revisiting Unreasonable Effectiveness of Data in Deep Learning Era arXiv:1707.02968
16konCOCO test-dev
APM· 2017-07-10
41.1
best: 67.7 (EVA)
Revisiting Unreasonable Effectiveness of Data in Deep Learning Era arXiv:1707.02968
16konCOCO test-dev
APS· 2017-07-10
17.5
best: 48.6 (Focal-Stable-DINO (Focal-Huge, no TTA))
Revisiting Unreasonable Effectiveness of Data in Deep Learning Era arXiv:1707.02968
16konCOCO test-dev
box mAP· 2017-07-10
37.4
best: 66 (Co-DETR)
Revisiting Unreasonable Effectiveness of Data in Deep Learning Era arXiv:1707.02968

Computer Vision11 results

Pose EstimationonCOCO test-dev
AP· uses extra data· 2017-07-10
64.4
best: 81.1 (ViTPose (ViTAE-G, ensemble))
Revisiting Unreasonable Effectiveness of Data in Deep Learning Era arXiv:1707.02968
Pose EstimationonCOCO test-dev
AP50· uses extra data· 2017-07-10
85.7
best: 95 (ViTPose (ViTAE-G, ensemble))
Revisiting Unreasonable Effectiveness of Data in Deep Learning Era arXiv:1707.02968
Pose EstimationonCOCO test-dev
AP75· uses extra data· 2017-07-10
70.7
best: 88.2 (ViTPose (ViTAE-G, ensemble))
Revisiting Unreasonable Effectiveness of Data in Deep Learning Era arXiv:1707.02968
Pose EstimationonCOCO test-dev
APL· uses extra data· 2017-07-10
69.8
best: 86.5 (PoseBH-H)
Revisiting Unreasonable Effectiveness of Data in Deep Learning Era arXiv:1707.02968
Pose EstimationonCOCO test-dev
APM· uses extra data· 2017-07-10
61.8
best: 83.8 (4xRSN-50 (ensemble))
Revisiting Unreasonable Effectiveness of Data in Deep Learning Era arXiv:1707.02968
Object DetectiononCOCO test-dev
AP50· 2017-07-10
58
best: 82.1 (Plain-DETR (Swin-L))
Revisiting Unreasonable Effectiveness of Data in Deep Learning Era arXiv:1707.02968
Object DetectiononCOCO test-dev
AP75· 2017-07-10
40.1
best: 71.7 (EVA)
Revisiting Unreasonable Effectiveness of Data in Deep Learning Era arXiv:1707.02968
Object DetectiononCOCO test-dev
APL· 2017-07-10
51.2
best: 78 (Focal-Stable-DINO (Focal-Huge, no TTA))
Revisiting Unreasonable Effectiveness of Data in Deep Learning Era arXiv:1707.02968
Object DetectiononCOCO test-dev
APM· 2017-07-10
41.1
best: 67.7 (EVA)
Revisiting Unreasonable Effectiveness of Data in Deep Learning Era arXiv:1707.02968
Object DetectiononCOCO test-dev
APS· 2017-07-10
17.5
best: 48.6 (Focal-Stable-DINO (Focal-Huge, no TTA))
Revisiting Unreasonable Effectiveness of Data in Deep Learning Era arXiv:1707.02968
Object DetectiononCOCO test-dev
box mAP· 2017-07-10
37.4
best: 66 (Co-DETR)
Revisiting Unreasonable Effectiveness of Data in Deep Learning Era arXiv:1707.02968

Audio5 results

1 Image, 2*2 StitchionCOCO test-dev
AP· uses extra data· 2017-07-10
64.4
best: 81.1 (ViTPose (ViTAE-G, ensemble))
Revisiting Unreasonable Effectiveness of Data in Deep Learning Era arXiv:1707.02968
1 Image, 2*2 StitchionCOCO test-dev
AP50· uses extra data· 2017-07-10
85.7
best: 95 (ViTPose (ViTAE-G, ensemble))
Revisiting Unreasonable Effectiveness of Data in Deep Learning Era arXiv:1707.02968
1 Image, 2*2 StitchionCOCO test-dev
AP75· uses extra data· 2017-07-10
70.7
best: 88.2 (ViTPose (ViTAE-G, ensemble))
Revisiting Unreasonable Effectiveness of Data in Deep Learning Era arXiv:1707.02968
1 Image, 2*2 StitchionCOCO test-dev
APL· uses extra data· 2017-07-10
69.8
best: 86.5 (PoseBH-H)
Revisiting Unreasonable Effectiveness of Data in Deep Learning Era arXiv:1707.02968
1 Image, 2*2 StitchionCOCO test-dev
APM· uses extra data· 2017-07-10
61.8
best: 83.8 (4xRSN-50 (ensemble))
Revisiting Unreasonable Effectiveness of Data in Deep Learning Era arXiv:1707.02968