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Semantic Segmentation on SIFT Flow (test)

64Mean AccuracyRegion-based end-to-end
1225.53952.5Nov 14, 2014Sep 2, 2015Jun 21, 2016Apr 10, 2017Jan 27, 2018Nov 16, 2018Sep 5, 2019

Evaluation results

MethodLinks
Region-based end-to-endYear=20162016.076484.3———
SVM+JCSupervision=Fully supervised, Backbone=VGG16, Calibration Method=joint calibration (JC)2015.0759.2————
SVCNet2019.0958.289.146.3——
DAG-RNN+CRF2019.0957.887.844.8——
EigenYear=20152016.0755.786.8———
CaesarYear=20152016.0755.6————
SVM+JCSupervision=Fully supervised, Backbone=AlexNet, Calibration Method=joint calibration (JC)2015.0755.6————
FCN-8s2016.0553.985.941.277.2—
FCN-8s2019.0953.985.941.2——
Contextual Deep CRFs2015.0453.488.1——44.9
Piecewise2019.0953.488.144.9——
Sharma [12]Year=20152016.0752.880.9———
Sharma et al.Supervision=Fully supervised, citation=[29]2015.0752.8————
FCN-16sarchitecture=two-headed version2014.1151.785.239.576.1—
FCN-16s2015.0451.785.2——39.5
LongYear=20152016.0751.785.2———
Long et al.Supervision=Fully supervised2015.0751.7————
Farabet et al. [8]variant=1, sampling=class-balanced samples2014.1150.872.3———
Farabet et al. naturalScale=multi-scale, Training distribution=natural frequency2016.0550.872.3———
Farabet et al.sampling=balance2015.0450.872.3———
FarabetYear=20132016.0750.878.5———
Farabet et al.Supervision=Fully supervised2015.0750.8————
GeorgeYear=20152016.0750.181.7———
George et al.Supervision=Fully supervised2015.0750.1————
YangYear=20142016.0748.779.8———
Yang et al.Supervision=Fully supervised2015.0748.7————
Yang et al.2019.0948.779.8———
Sharma [11]Year=20142016.074879.6———
Sharma et al.Supervision=Fully supervised, citation=[28]2015.0748————
KekeçYear=20142016.0745.870.4———
Kekeç et al.Supervision=Fully supervised2015.0745.8————
SVM+JCSupervision=Weakly supervised, Backbone=VGG16, Calibration Method=joint calibration (JC)2015.0744.8————
Xu et al.Supervision=Weakly supervised, Transductive=true, citation=[42]2015.0741.4————
Tighe et al. [34]variant=1, model=exemplar SVM2014.1141.175.6———
Tighe et al. SVM2016.0541.175.6———
Tighe et al.2015.0441.175.6———
Tighe [14]Year=20132016.0741.178.6———
Tighe et al.Supervision=Fully supervised, citation=[35]2015.0741.1————
Tighe et al.2019.0941.175.6———
ShuaiYear=20152016.0739.780.1———
Shuai et al.Supervision=Fully supervised2015.0739.7————
Tighe et al. [34]variant=2, model=SVM + MRF2014.1139.278.6———
Tighe et al. SVM+MRF2016.0539.278.6———
Tighe et al.model=MRF2015.0439.278.6———
SVM+JCSupervision=Weakly supervised, Backbone=AlexNet, Calibration Method=joint calibration (JC)2015.0737.4————
Xu et al.Supervision=Weakly supervised, Transductive=false, citation=[42]2015.0735————
SinghYear=20132016.0733.879.2———
Sharma et al.2019.0933.679.6———
Zhang et al.Supervision=Weakly supervised, citation=[45]2015.0732.3————
GattaYear=20142016.0732.178.7———
PinheiroYear=20142016.073076.5———
Pinheiro et al.Supervision=Fully supervised2015.0730————
Pinheiro et al.model=RCNN3 (o3)2014.1129.877.7———
Pinheiro et al.Scale=multi-scale, Recurrence=RCNN32016.0529.877.7———
Pinheiro et al.2015.0429.877.7———
Pinheiro et al.2019.0929.877.7———
Farabet et al. [8]variant=2, sampling=natural frequency samples2014.1129.678.5———
Farabet et al. balancedScale=multi-scale, Training distribution=class-balanced2016.0529.678.5———
Farabet et al.2015.0429.678.5———
Farabet et al.2019.0929.678.5———
Tighe [13]Year=20102016.0729.476.9———
Tighe et al.Supervision=Fully supervised, citation=[33]2015.0729.1————
SVMSupervision=Fully supervised, Backbone=AlexNet, Calibration Method=uncalibrated SVM scores2015.0728.7————
Xu et al.Supervision=Weakly supervised, citation=[41]2015.0727.9————
SVM+PSSupervision=Fully supervised, Backbone=AlexNet, Calibration Method=Platt scaling (PS)2015.0727.7————
Zhang et al.Supervision=Weakly supervised, citation=[44]2015.0727.7————
GouldYear=20142016.0725.778.4———
ByeonYear=20152016.0722.668.7———
Byeon et al.Supervision=Fully supervised2015.0722.6————
SVMSupervision=Weakly supervised, Backbone=AlexNet, Calibration Method=uncalibrated SVM scores2015.0721.2————
Vezhnevets et al.Supervision=Weakly supervised, citation=[40]2015.0721————
SVM+PSSupervision=Weakly supervised, Backbone=AlexNet, Calibration Method=Platt scaling (PS)2015.0716.8————
Vezhnevets et al.Supervision=Weakly supervised, citation=[39]2015.0714————
Liu et al.2014.11—76.7———
Liu et al.2016.05—76.7———
Liu et al.2015.04—76.7———
Liu et al.2019.09—76.7———