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Models/R-FCN

R-FCN

Reported on 15 benchmarks across 5 tasks · 2 papers · 10 SOTA

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

Methodology12 results

3DonUAVDT
mAP· 2018-03-26
34.35
best: 76.55 (PRB-FPN)
SOTA
The Unmanned Aerial Vehicle Benchmark: Object Detection and Tracking arXiv:1804.00518
2D ClassificationonUAVDT
mAP· 2018-03-26
34.35
best: 76.55 (PRB-FPN)
SOTA
The Unmanned Aerial Vehicle Benchmark: Object Detection and Tracking arXiv:1804.00518
2D Object DetectiononUAVDT
mAP· 2018-03-26
34.35
best: 76.55 (PRB-FPN)
SOTA
The Unmanned Aerial Vehicle Benchmark: Object Detection and Tracking arXiv:1804.00518
16konUAVDT
mAP· 2018-03-26
34.35
best: 76.55 (PRB-FPN)
SOTA
The Unmanned Aerial Vehicle Benchmark: Object Detection and Tracking arXiv:1804.00518
3DonUA-DETRAC
mAP· 2016-05-20
69.87
best: 90.39 (VSTAM)
SOTA
R-FCN: Object Detection via Region-based Fully Convolutional Networks arXiv:1605.06409
2D ClassificationonUA-DETRAC
mAP· 2016-05-20
69.87
best: 90.39 (VSTAM)
SOTA
R-FCN: Object Detection via Region-based Fully Convolutional Networks arXiv:1605.06409
2D Object DetectiononUA-DETRAC
mAP· 2016-05-20
69.87
best: 90.39 (VSTAM)
SOTA
R-FCN: Object Detection via Region-based Fully Convolutional Networks arXiv:1605.06409
16konUA-DETRAC
mAP· 2016-05-20
69.87
best: 90.39 (VSTAM)
SOTA
R-FCN: Object Detection via Region-based Fully Convolutional Networks arXiv:1605.06409
3DonPASCAL VOC 2007
FPS· 2016-05-20
9
best: 46 (YOLO)
R-FCN: Object Detection via Region-based Fully Convolutional Networks arXiv:1605.06409
2D ClassificationonPASCAL VOC 2007
FPS· 2016-05-20
9
best: 46 (YOLO)
R-FCN: Object Detection via Region-based Fully Convolutional Networks arXiv:1605.06409
2D Object DetectiononPASCAL VOC 2007
FPS· 2016-05-20
9
best: 46 (YOLO)
R-FCN: Object Detection via Region-based Fully Convolutional Networks arXiv:1605.06409
16konPASCAL VOC 2007
FPS· 2016-05-20
9
best: 46 (YOLO)
R-FCN: Object Detection via Region-based Fully Convolutional Networks arXiv:1605.06409

Computer Vision3 results

Object DetectiononUAVDT
mAP· 2018-03-26
34.35
best: 76.55 (PRB-FPN)
SOTA
The Unmanned Aerial Vehicle Benchmark: Object Detection and Tracking arXiv:1804.00518
Object DetectiononUA-DETRAC
mAP· 2016-05-20
69.87
best: 90.39 (VSTAM)
SOTA
R-FCN: Object Detection via Region-based Fully Convolutional Networks arXiv:1605.06409
Object DetectiononPASCAL VOC 2007
FPS· 2016-05-20
9
best: 46 (YOLO)
R-FCN: Object Detection via Region-based Fully Convolutional Networks arXiv:1605.06409