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Models/Faster R-CNN (ResNet-101, DCNv2)

Faster R-CNN (ResNet-101, DCNv2)

Reported on 20 benchmarks across 5 tasks · 1 paper · 5 SOTA

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

Methodology16 results

3DonCOCO minival
APL· 2018-11-27
58.7
best: 78.5 (Focal-Stable-DINO (Focal-Huge, no TTA))
SOTA
Deformable ConvNets v2: More Deformable, Better Results arXiv:1811.11168
2D ClassificationonCOCO minival
APL· 2018-11-27
58.7
best: 78.5 (Focal-Stable-DINO (Focal-Huge, no TTA))
SOTA
Deformable ConvNets v2: More Deformable, Better Results arXiv:1811.11168
2D Object DetectiononCOCO minival
APL· 2018-11-27
58.7
best: 78.5 (Focal-Stable-DINO (Focal-Huge, no TTA))
SOTA
Deformable ConvNets v2: More Deformable, Better Results arXiv:1811.11168
16konCOCO minival
APL· 2018-11-27
58.7
best: 78.5 (Focal-Stable-DINO (Focal-Huge, no TTA))
SOTA
Deformable ConvNets v2: More Deformable, Better Results arXiv:1811.11168
3DonCOCO minival
APM· 2018-11-27
45.8
best: 68.5 (Focal-Stable-DINO (Focal-Huge, no TTA))
Deformable ConvNets v2: More Deformable, Better Results arXiv:1811.11168
3DonCOCO minival
APS· 2018-11-27
22.2
best: 50.4 (Focal-Stable-DINO (Focal-Huge, no TTA))
Deformable ConvNets v2: More Deformable, Better Results arXiv:1811.11168
3DonCOCO minival
box AP· 2018-11-27
41.7
best: 66 (PE_spatial (DETA))
Deformable ConvNets v2: More Deformable, Better Results arXiv:1811.11168
2D ClassificationonCOCO minival
APM· 2018-11-27
45.8
best: 68.5 (Focal-Stable-DINO (Focal-Huge, no TTA))
Deformable ConvNets v2: More Deformable, Better Results arXiv:1811.11168
2D ClassificationonCOCO minival
APS· 2018-11-27
22.2
best: 50.4 (Focal-Stable-DINO (Focal-Huge, no TTA))
Deformable ConvNets v2: More Deformable, Better Results arXiv:1811.11168
2D ClassificationonCOCO minival
box AP· 2018-11-27
41.7
best: 66 (PE_spatial (DETA))
Deformable ConvNets v2: More Deformable, Better Results arXiv:1811.11168
2D Object DetectiononCOCO minival
APM· 2018-11-27
45.8
best: 68.5 (Focal-Stable-DINO (Focal-Huge, no TTA))
Deformable ConvNets v2: More Deformable, Better Results arXiv:1811.11168
2D Object DetectiononCOCO minival
APS· 2018-11-27
22.2
best: 50.4 (Focal-Stable-DINO (Focal-Huge, no TTA))
Deformable ConvNets v2: More Deformable, Better Results arXiv:1811.11168
2D Object DetectiononCOCO minival
box AP· 2018-11-27
41.7
best: 66 (PE_spatial (DETA))
Deformable ConvNets v2: More Deformable, Better Results arXiv:1811.11168
16konCOCO minival
APM· 2018-11-27
45.8
best: 68.5 (Focal-Stable-DINO (Focal-Huge, no TTA))
Deformable ConvNets v2: More Deformable, Better Results arXiv:1811.11168
16konCOCO minival
APS· 2018-11-27
22.2
best: 50.4 (Focal-Stable-DINO (Focal-Huge, no TTA))
Deformable ConvNets v2: More Deformable, Better Results arXiv:1811.11168
16konCOCO minival
box AP· 2018-11-27
41.7
best: 66 (PE_spatial (DETA))
Deformable ConvNets v2: More Deformable, Better Results arXiv:1811.11168

Computer Vision4 results

Object DetectiononCOCO minival
APL· 2018-11-27
58.7
best: 78.5 (Focal-Stable-DINO (Focal-Huge, no TTA))
SOTA
Deformable ConvNets v2: More Deformable, Better Results arXiv:1811.11168
Object DetectiononCOCO minival
APM· 2018-11-27
45.8
best: 68.5 (Focal-Stable-DINO (Focal-Huge, no TTA))
Deformable ConvNets v2: More Deformable, Better Results arXiv:1811.11168
Object DetectiononCOCO minival
APS· 2018-11-27
22.2
best: 50.4 (Focal-Stable-DINO (Focal-Huge, no TTA))
Deformable ConvNets v2: More Deformable, Better Results arXiv:1811.11168
Object DetectiononCOCO minival
box AP· 2018-11-27
41.7
best: 66 (PE_spatial (DETA))
Deformable ConvNets v2: More Deformable, Better Results arXiv:1811.11168