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Object Detection on PASCAL VOC 2007 (test) including Efficiency Metrics

81.8mAPRefineDet
13.36831.13448.966.666Jun 18, 2014Apr 7, 2015Jan 26, 2016Nov 15, 2016Sep 5, 2017Jun 26, 2018Apr 16, 2019

Evaluation results

MethodLinks
RefineDetResolution=512 x 5122019.0481.8————24——
DSSDResolution=513 x 5132019.0481.5————5.5——
CenterNet-DLAResolution=512 x 512, Flip test=true2019.0480.7————33——
R-FCNResolution=600 x 10002019.0480.5————9——
Faster RCNN*Resolution=600 x 10002019.0479.8————5——
CenterNet-DLAResolution=384 x 384, Flip test=true2019.0479.3————50——
SSDResolution=513 x 5132019.0478.9————19——
CenterNet-Res101Resolution=512 x 512, Flip test=true2019.0478.7————30——
YOLOv2Train Data=2007+2012, Resolution=544 x 544, Hardware=Geforce GTX Titan X2016.1278.6————40——
Yolov2Resolution=544 x 5442019.0478.6————40——
YOLOv2Train Data=2007+2012, Resolution=480 x 480, Hardware=Geforce GTX Titan X2016.1277.8————59——
CenterNet-Res101Resolution=384 x 384, Flip test=true2019.0477.6————45——
SSD500Train Data=2007+2012, Hardware=Geforce GTX Titan X2016.1276.8————19——
YOLOv2Train Data=2007+2012, Resolution=416 x 416, Hardware=Geforce GTX Titan X2016.1276.8————67——
Faster R-CNN ResNetTrain Data=2007+2012, Hardware=Geforce GTX Titan X2016.1276.4————5——
Faster RCNNResolution=600 x 10002019.0476.4————5——
CenterNet-Res18Resolution=512 x 512, Flip test=true2019.0475.7————100——
SSD300Train Data=2007+2012, Hardware=Geforce GTX Titan X2016.1274.3————46——
YOLOv2Train Data=2007+2012, Resolution=352 x 352, Hardware=Geforce GTX Titan X2016.1273.7————81——
Faster R-CNN VGG-16Train=2007+20122015.0673.2————7——
Faster R-CNN VGG-16Train Data=2007+2012, Hardware=Geforce GTX Titan X2016.1273.2————7——
CenterNet-Res18Resolution=384 x 384, Flip test=true2019.0472.6————142——
Fast R-CNNTrain=2007+20122015.0670————0.5——
Fast R-CNNTrain Data=2007+2012, Hardware=Geforce GTX Titan X2016.1270————0.5——
YOLOv2Train Data=2007+2012, Resolution=288 x 288, Hardware=Geforce GTX Titan X2016.1269————91——
Fast R-CNNModel scale=L, Truncated SVD=false, Evaluation scales=single2015.0466.99.58.80.32146———
Fast R-CNNModel scale=L, Truncated SVD=true, Evaluation scales=single2015.0466.6——0.22213———
YOLO VGG-16Train=2007+2012, Backbone=VGG-162015.0666.4————21——
R CNNModel scale=L2015.0466841471———
YOLOTrain=2007+20122015.0663.4————45——
YOLOTrain Data=2007+2012, Hardware=Geforce GTX Titan X2016.1263.4————45——
SPPnetModel scale=L, Evaluation scales=five2015.0463.1253.42.320———
Faster R-CNN ZFTrain=2007+20122015.0662.1————18——
R CNNModel scale=M2015.0460.228112.11———
Fast R-CNNModel scale=M, Truncated SVD=false, Evaluation scales=single2015.0459.22140.1580———
SPP-netScale=5-sc, Backbone=ZF-5, Layer=ftfc7 bb, Fine-tuned=true, Bounding box regression=true2014.0659.2——0.38224—0.2930.089
Fast R-CNNModel scale=M, Truncated SVD=true, Evaluation scales=single2015.0458.7——0.08150———
R CNNModel scale=S2015.0458.52219.81———
R-CNNBackbone=Alex-5, Layer=ftfc7 bb, Fine-tuned=true, Bounding box regression=true2014.0658.5——9.03——8.960.07
SPP-netScale=1-sc, Backbone=ZF-5, Layer=ftfc7 bb, Fine-tuned=true, Bounding box regression=true2014.0658——0.14264—0.0530.089
Fast R-CNNModel scale=S, Truncated SVD=false, Evaluation scales=single2015.0457.11.218.30.198———
Fast R-CNNModel scale=S, Truncated SVD=true, Evaluation scales=single2015.0456.5——0.06169———
SPP-netScale=5-sc, Backbone=ZF-5, Layer=ftfc7, Fine-tuned=true, Bounding box regression=false2014.0655.2——0.38224—0.2930.089
SPP-netScale=1-sc, Backbone=ZF-5, Layer=ftfc7, Fine-tuned=true, Bounding box regression=false2014.0654.5——0.14264—0.0530.089
R-CNNBackbone=Alex-5, Layer=ftfc7, Fine-tuned=true, Bounding box regression=false2014.0654.2——9.03——8.960.07
SPP-netScale=5-sc, Backbone=ZF-5, Layer=ftfc6, Fine-tuned=true, Bounding box regression=false2014.0653.7——0.38224—0.2930.089
R-CNN Minus RTrain=20072015.0653.5————6——
R-CNNBackbone=Alex-5, Layer=ftfc6, Fine-tuned=true, Bounding box regression=false2014.0653.1——9.03——8.960.07
Fast YOLOTrain=2007+20122015.0652.7————155——
SPP-netScale=1-sc, Backbone=ZF-5, Layer=ftfc6, Fine-tuned=true, Bounding box regression=false2014.0652.3——0.14264—0.0530.089
R-CNNBackbone=Alex-5, Layer=fc6, Fine-tuned=false, Bounding box regression=false2014.0646.2——9.03——8.960.07
SPP-netScale=5-sc, Backbone=ZF-5, Layer=pool5, Fine-tuned=false, Bounding box regression=false2014.0644.9——0.38224—0.2930.089
SPP-netScale=5-sc, Backbone=ZF-5, Layer=fc6, Fine-tuned=false, Bounding box regression=false2014.0644.8——0.38224—0.2930.089
R-CNNBackbone=Alex-5, Layer=pool5, Fine-tuned=false, Bounding box regression=false2014.0644.2——9.03——8.960.07
SPP-netScale=1-sc, Backbone=ZF-5, Layer=pool5, Fine-tuned=false, Bounding box regression=false2014.0643——0.14264—0.0530.089
SPP-netScale=1-sc, Backbone=ZF-5, Layer=fc6, Fine-tuned=false, Bounding box regression=false2014.0642.5——0.14264—0.0530.089
Fastest DPMTrain=20072015.0630.4————15——
30Hz DPMTrain=20072015.0626.1————30——
100Hz DPMTrain=20072015.0616————100——