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Weakly supervised semantic segmentation on VOC 2012 (val)

70mIoUPMM
40.8848.445663.56Apr 3, 2018Oct 27, 2018May 23, 2019Dec 16, 2019Jul 11, 2020Feb 3, 2021Aug 30, 2021

Evaluation results

MethodLinks
PMMExtra Info=None, Backbone=Res2Net2021.0870
LIIDExtra Info=Segment-based object proposals (SOP), Backbone=VGG2021.0869.4
PMMExtra Info=None, Backbone=ResNet2021.0868.5
Li et al.Extra Info=External saliency models (S), Backbone=ResNet2021.0868.2
ICDExtra Info=External saliency models (S), Backbone=ResNet2021.0867.8
SGANExtra Info=External saliency models (S), Backbone=ResNet2021.0867.1
PMMExtra Info=None, Backbone=ScaleNet2021.0867.1
LIIDExtra Info=Segment-based object proposals (SOP), Backbone=ResNet2021.0866.5
SDIExtra Info=D+BSDS, Backbone=ResNet2021.0865.7
OAA+Extra Info=External saliency models (S), Backbone=ResNet2021.0865.2
FickleNetExtra Info=External saliency models (S), Backbone=ResNet2021.0864.9
BoxSupExtra Info=Supervision of detection (D), Backbone=VGG2021.0862
DSRGExtra Info=MSRA-B, Backbone=ResNet2021.0861.4
PRMComments=Object segment proposals, Negligible training costs=true2018.0453.4
CombiningComments=CRF as RNN, Negligible training costs=false2018.0452.8
Check maskComments=CRF & Human in the loop, Negligible training costs=false2018.0451.5
SECComments=CRF as boundary loss, Negligible training costs=false2018.0450.7
WILDCATComments=CRF post-processing, Negligible training costs=true2018.0443.7
MIL+ILP+SP-segComments=Object segment proposals, Negligible training costs=true2018.0442