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Models/Faster-RCNN

Faster-RCNN

Reported on 23 benchmarks across 7 tasks · 3 papers · 6 SOTA

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

Computer Vision15 results

Object RecognitiononMECCANO
mAP· 2020-10-12
30.39
SOTA
The MECCANO Dataset: Understanding Human-Object Interactions from Egocentric Videos in an Industrial-like Domain arXiv:2010.05654
Object DetectiononPKU-DDD17-Car
mAP50· 2015-06-04
80.2
SOTA
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks arXiv:1506.01497
Object DetectiononUAVDT
mAP· 2018-03-26
22.32
best: 76.55 (PRB-FPN)
The Unmanned Aerial Vehicle Benchmark: Object Detection and Tracking arXiv:1804.00518
Document Layout AnalysisonDocument Layout Recognition Challenge mini-dev
Figure
0.98
best: 0.99 (fglihai)
Document Layout AnalysisonDocument Layout Recognition Challenge mini-dev
List
0.98
Document Layout AnalysisonDocument Layout Recognition Challenge mini-dev
Overall
0.95
best: 0.96 (fglihai)
Document Layout AnalysisonDocument Layout Recognition Challenge mini-dev
Table
0.98
best: 1 (fglihai)
Document Layout AnalysisonDocument Layout Recognition Challenge mini-dev
Text
0.95
best: 0.97 (fglihai)
Document Layout AnalysisonDocument Layout Recognition Challenge mini-dev
Title
0.88
Document Layout AnalysisonDocument Layout Recognition Challenge test
Figure
0.95
best: 0.97 (fglihai)
Document Layout AnalysisonDocument Layout Recognition Challenge test
List
0.89
best: 0.9 (fglihai)
Document Layout AnalysisonDocument Layout Recognition Challenge test
Overall
0.91
best: 0.92 (fglihai)
Document Layout AnalysisonDocument Layout Recognition Challenge test
Table
0.95
best: 0.96 (fglihai)
Document Layout AnalysisonDocument Layout Recognition Challenge test
Text
0.92
best: 0.93 (fglihai)
Document Layout AnalysisonDocument Layout Recognition Challenge test
Title
0.82
best: 0.84 (fglihai)

Methodology8 results

3DonPKU-DDD17-Car
mAP50· 2015-06-04
80.2
SOTA
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks arXiv:1506.01497
2D ClassificationonPKU-DDD17-Car
mAP50· 2015-06-04
80.2
SOTA
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks arXiv:1506.01497
2D Object DetectiononPKU-DDD17-Car
mAP50· 2015-06-04
80.2
SOTA
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks arXiv:1506.01497
16konPKU-DDD17-Car
mAP50· 2015-06-04
80.2
SOTA
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks arXiv:1506.01497
3DonUAVDT
mAP· 2018-03-26
22.32
best: 76.55 (PRB-FPN)
The Unmanned Aerial Vehicle Benchmark: Object Detection and Tracking arXiv:1804.00518
2D ClassificationonUAVDT
mAP· 2018-03-26
22.32
best: 76.55 (PRB-FPN)
The Unmanned Aerial Vehicle Benchmark: Object Detection and Tracking arXiv:1804.00518
2D Object DetectiononUAVDT
mAP· 2018-03-26
22.32
best: 76.55 (PRB-FPN)
The Unmanned Aerial Vehicle Benchmark: Object Detection and Tracking arXiv:1804.00518
16konUAVDT
mAP· 2018-03-26
22.32
best: 76.55 (PRB-FPN)
The Unmanned Aerial Vehicle Benchmark: Object Detection and Tracking arXiv:1804.00518