List your company
ResearchFormerly WizWand

Semantic Segmentation on PASCAL-5^i Fold-2

71.1mIoURePRI
26.078437.766749.45561.1433Aug 4, 2020Jul 1, 2021May 29, 2022Apr 26, 2023Mar 22, 2024Feb 17, 2025Jan 15, 2026
Updated 8mo ago

Evaluation results

MethodLinks
RePRIBackbone=ResNet-50, Shots=5-shot2022.1071.1
DPCNShot=1-shot, Supervision=Pixel2022.0469.1
CWTBackbone=ResNet-101, Shots=5-shot2022.1068.8
CWTBackbone=ResNet-50, Shots=5-shot2022.1068.5
HSNetBackbone=ResNet-50, Shots=5-shot2022.1067.4
DCPBackbone=ResNet-50, Shots=5-shot2022.1066.4
CyCTRBackbone=ResNet-50, Shots=5-shot2022.1063.8
DPCNShot=1-shot, Supervision=Box2022.0463.2
FWBFBackbone=ResNet-101, Shots=5-Shot2020.0862.2
RePRIBackbone=ResNet-50, Shots=1-shot2022.1062.1
NERTNetBackbone=ResNet-50, Shots=5-shot2022.1061.7
IPMTBackbone=ResNet-50, Shots=5-shot2022.1061.6
DCPBackbone=ResNet-50, Shots=1-shot2022.1061.2
CWTBackbone=ResNet-101, Shots=1-shot2022.1061.2
HSNetBackbone=ResNet-50, Shots=1-shot2022.1060.3
DANBackbone=ResNet-101, Shots=5-shot2022.1060.1
NERTNetBackbone=ResNet-101, Shots=5-shot2022.1060.1
CWTBackbone=ResNet-50, Shots=1-shot2022.1059.9
PANetBackbone=VGG-16, Shots=5-Shot, Params=14.7M2020.0859.8
IPMTBackbone=ResNet-101, Shots=5-shot2022.1059.6
CyCTRBackbone=ResNet-50, Shots=1-shot2022.1059.5
NERTNetBackbone=ResNet-50, Shots=1-shot2022.1059.4
IPMTBackbone=ResNet-50, Shots=1-shot2022.1059.2
NERTNetBackbone=ResNet-101, Shots=1-shot2022.1059.1
CyCTRBackbone=ResNet-101, Shots=5-shot2022.1058.6
IPMTBackbone=ResNet-101, Shots=1-shot2022.1058
DANBackbone=ResNet-101, Shots=1-shot2022.1057.8
FWBFBackbone=ResNet-101, Shots=1-Shot2020.0856.7
FWBFBackbone=VGG-16, Shots=5-Shot2020.0856.5
CyCTRBackbone=ResNet-101, Shots=1-shot2022.1056.5
PFENetBackbone=ResNet-50, Shots=5-Shot, Params=10.8M2020.0855.8
PFENetBackbone=ResNet-50, Shots=5-shot2022.1055.8
PFENetBackbone=ResNet-50, Shots=1-Shot, Params=10.8M2020.0855.4
PFENetBackbone=ResNet-50, Shots=1-shot2022.1055.4
PFENetBackbone=ResNet-101, Shots=5-Shot, Params=10.8M2020.0854.9
PFENetBackbone=ResNet-101, Shots=5-shot2022.1054.9
PFENetBackbone=VGG-16, Shots=5-Shot, Params=10.4M2020.0854.8
RPMMsBackbone=ResNet-50, Shots=5-shot2022.1054.5
PFENetBackbone=VGG-16, Shots=1-Shot, Params=10.4M2020.0854.4
PFENetBackbone=ResNet-101, Shots=1-Shot, Params=10.8M2020.0854.4
PFENetBackbone=ResNet-101, Shots=1-shot2022.1054.4
FWBFBackbone=VGG-16, Shots=1-Shot2020.0852.6
RPMMsBackbone=ResNet-50, Shots=1-shot2022.1052.6
CANetBackbone=ResNet-50, Shots=5-Shot, Params=19.0M2020.0851.9
PGNetBackbone=ResNet-50, Shots=5-Shot, Params=17.2M2020.0851.8
CANetBackbone=ResNet-50, Shots=1-Shot, Params=19.0M2020.0851.3
PANetBackbone=VGG-16, Shots=1-Shot, Params=14.7M2020.0851.1
PGNetBackbone=ResNet-50, Shots=1-Shot, Params=17.2M2020.0850.6
AMPBackbone=VGG-16, Shots=5-Shot, Params=34.7M2020.0850.3
SG-OneBackbone=VGG-16, Shots=5-Shot, Params=19.0M2020.0848.6
SG-OneBackbone=VGG-16, Shots=1-Shot, Params=19.0M2020.0848.4
VICL frameworkType=Ensemble, K=162026.0147.57
VICL frameworkType=Ensemble, K=12026.0147.23
AMPBackbone=VGG-16, Shots=1-Shot, Params=34.7M2020.0846.7
co-FCNBackbone=VGG-16, Shots=1-Shot, Params=34.2M2020.0844.9
CONDENSERType=Fusion, K=162026.0144.33
co-FCNBackbone=VGG-16, Shots=5-Shot, Params=34.2M2020.0844.1
OSLSMBackbone=VGG-16, Shots=5-Shot, Params=276.7M2020.0842.7
InMeMoType=Prompt Selection2026.0142.43
CONDENSERType=Fusion, K=12026.0142.2
VICL frameworkK=12026.0142.17
VICL frameworkK=162026.0141.92
Partial2Global w/ votingType=Voting2026.0141.79
CONDENSERK=162026.0141.03
OSLSMBackbone=VGG-16, Shots=1-Shot, Params=276.7M2020.0840.9
InMeMo2026.0140.45
CONDENSERK=12026.0140.23
Prompt-Self w/ votingType=Voting2026.0139.76
Task-Level PromptingType=Prompt Selection2026.0137.93
Prompt-SelF2026.0137.84
Partial2GlobalType=Prompt Selection2026.0137.25
Prompt-SelfType=Prompt Selection2026.0135.86
SupPRType=Single2026.0134.4
UnsupPRType=Single2026.0132.41
RandomType=Single2026.0127.81