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Shadow Detection on SBU (test)

2.43Balanced Error Rate (BER)SVL
0.546813.258425.9738.6816Dec 7, 2017May 4, 2019Sep 28, 2020Feb 23, 2022Jul 21, 2023Dec 15, 2024May 12, 2026

Evaluation results

MethodLinks
SVL2026.052.432.242.62————————
STNetYear=20252026.052.743.162.32————————
SwinShadowYear=20242026.052.782.782.79————————
ShadowAdapterYear=20252026.052.82.53.1————————
SDCMYear=20222026.052.943.542.35————————
RMLANetYear=20222026.052.972.533.42————————
SaTYear=20242026.053.023.682.36————————
FDRNetYear=20212026.053.042.913.18————————
MTMTYear=20202026.053.153.732.57————————
R2DYear=20232026.053.152.743.56————————
DSDYear=20192026.053.453.333.58————————
BDRARYear=20182026.053.643.43.89————————
CPD2019.044.19——————————
EGNetYear=20192026.054.495.233.75————————
DC-DSPF2019.044.9——————————
DC-DSPFYear=20192026.054.94.75.1————————
ITSDYear=20202026.0558.651.36————————
ADNetYear=20182026.055.374.456.3————————
DSC2019.045.59——————————
DSCtraining_set=SBU2018.055.59——97———————
DSCYear=20182026.055.599.761.42————————
BMPM2019.046.17——————————
SRMYear=20172026.056.5110.522.5————————
DSS2019.047——————————
NLDF2019.047.02——————————
SRM2018.057.25——96———————
RASYear=20182026.057.3112.132.48————————
ST-CGANTraining Set=SBU2017.128.143.7512.53————————
JDR2019.048.14——————————
ST-CGANYear=20182026.058.143.7512.53————————
PSPNet2018.058.57——95———————
PSPNetYear=20172026.058.57——————————
scGANTraining Set=SBU2017.129.17.810.4————————
scGAN2019.049.1——————————
scGAN2018.059.1——90———————
scGANYear=20182026.059.18.399.69————————
StackedCNNTraining Set=SBU2017.12119.612.5————————
StackedCNN2019.0411——————————
stacked-CNN2018.0511——88———————
patched-CNN2018.0511.56——88———————
patched-CNNYear=20182026.0511.5615.67.52————————
cGANTraining Set=SBU2017.1213.620.56.9————————
Amulet2018.0515.13——93———————
Unary-Pairwise2018.0525.03——86———————
Unary-PairwiseYear=20112026.0525.0336.2613.8————————
AlignSAMreinforcement learning=true, semantic recalibration module=true, multi-step interaction=true2024.0634.62—————————30.78
AlignSAMreinforcement learning=false, semantic recalibration module=true, multi-step interaction=true2024.0637.57—————————25.62
AlignSAMreinforcement learning=true, semantic recalibration module=false, multi-step interaction=true2024.0642.72—————————21.29
SAMed2024.0642.84—————————17.24
AlignSAMreinforcement learning=true, semantic recalibration module=true, multi-step interaction=false2024.0642.91—————————18.65
Painter2024.0647.89—————————9.31
SEEM2024.0648.01—————————19.52
PerSAM2024.0649.51—————————18.68
CLIP Surgery+SAMgeneric task prompt=Shadow2023.12——————33.133.651.744.2—
GenSAMgeneric task prompt=Shadow2023.12——————21.542.162.152.9—
Our method2017.09———86.6489.8787.73—————
Stacked-CNN2017.09———88.586.0990.59—————
Unary-Pairwise2017.09———86.3956.3693.57—————