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ResearchFormerly WizWand

Semantic Segmentation on PASCAL-5^i Fold-0

75.3mIoUIPMT
26.794439.387251.9864.5728Aug 4, 2020Jul 1, 2021May 29, 2022Apr 26, 2023Mar 22, 2024Feb 17, 2025Jan 15, 2026
Updated 8mo ago

Evaluation results

MethodLinks
IPMTBackbone=ResNet-101, Shots=5-shot2022.1075.3
CyCTRBackbone=ResNet-101, Shots=5-shot2022.1073.5
IPMTBackbone=ResNet-50, Shots=5-shot2022.1073.1
IPMTBackbone=ResNet-50, Shots=1-shot2022.1072.8
IPMTBackbone=ResNet-101, Shots=1-shot2022.1071.6
HSNetBackbone=ResNet-50, Shots=5-shot2022.1070.3
CyCTRBackbone=ResNet-50, Shots=5-shot2022.1069.3
CyCTRBackbone=ResNet-101, Shots=1-shot2022.1069.3
NERTNetBackbone=ResNet-101, Shots=5-shot2022.1067.9
DCPBackbone=ResNet-50, Shots=5-shot2022.1067.2
NERTNetBackbone=ResNet-50, Shots=5-shot2022.1066.2
DPCNShot=1-shot, Supervision=Pixel2022.0465.7
CyCTRBackbone=ResNet-50, Shots=1-shot2022.1065.7
NERTNetBackbone=ResNet-101, Shots=1-shot2022.1065.5
NERTNetBackbone=ResNet-50, Shots=1-shot2022.1065.4
RePRIBackbone=ResNet-50, Shots=5-shot2022.1064.6
HSNetBackbone=ResNet-50, Shots=1-shot2022.1064.3
DCPBackbone=ResNet-50, Shots=1-shot2022.1063.8
PFENetBackbone=ResNet-50, Shots=5-Shot, Params=10.8M2020.0863.1
PFENetBackbone=ResNet-50, Shots=5-shot2022.1063.1
PFENetBackbone=ResNet-101, Shots=5-Shot, Params=10.8M2020.0862.8
PFENetBackbone=ResNet-101, Shots=5-shot2022.1062.8
CWTBackbone=ResNet-101, Shots=5-shot2022.1062.6
PFENetBackbone=ResNet-50, Shots=1-Shot, Params=10.8M2020.0861.7
PFENetBackbone=ResNet-50, Shots=1-shot2022.1061.7
CWTBackbone=ResNet-50, Shots=5-shot2022.1061.3
PFENetBackbone=ResNet-101, Shots=1-Shot, Params=10.8M2020.0860.5
PFENetBackbone=ResNet-101, Shots=1-shot2022.1060.5
DPCNShot=1-shot, Supervision=Box2022.0459.8
RePRIBackbone=ResNet-50, Shots=1-shot2022.1059.8
PFENetBackbone=VGG-16, Shots=5-Shot, Params=10.4M2020.0859
DANBackbone=ResNet-101, Shots=5-shot2022.1057.9
PFENetBackbone=VGG-16, Shots=1-Shot, Params=10.4M2020.0856.9
CWTBackbone=ResNet-101, Shots=1-shot2022.1056.9
CWTBackbone=ResNet-50, Shots=1-shot2022.1056.3
RPMMsBackbone=ResNet-50, Shots=5-shot2022.1056.3
PGNetBackbone=ResNet-50, Shots=1-Shot, Params=17.2M2020.0856
CANetBackbone=ResNet-50, Shots=5-Shot, Params=19.0M2020.0855.5
RPMMsBackbone=ResNet-50, Shots=1-shot2022.1055.2
PGNetBackbone=ResNet-50, Shots=5-Shot, Params=17.2M2020.0854.9
FWBFBackbone=ResNet-101, Shots=5-Shot2020.0854.8
DANBackbone=ResNet-101, Shots=1-shot2022.1054.7
CANetBackbone=ResNet-50, Shots=1-Shot, Params=19.0M2020.0852.5
PANetBackbone=VGG-16, Shots=5-Shot, Params=14.7M2020.0851.8
FWBFBackbone=ResNet-101, Shots=1-Shot2020.0851.3
FWBFBackbone=VGG-16, Shots=5-Shot2020.0850.9
VICL frameworkType=Ensemble, K=162026.0149.32
VICL frameworkType=Ensemble, K=12026.0148.57
FWBFBackbone=VGG-16, Shots=1-Shot2020.0847
CONDENSERType=Fusion, K=162026.0145.53
Partial2Global w/ votingType=Voting2026.0143.23
VICL frameworkK=12026.0142.86
VICL frameworkK=162026.0142.56
Prompt-Self w/ votingType=Voting2026.0142.48
PANetBackbone=VGG-16, Shots=1-Shot, Params=14.7M2020.0842.3
CONDENSERType=Fusion, K=12026.0142.13
SG-OneBackbone=VGG-16, Shots=5-Shot, Params=19.0M2020.0841.9
AMPBackbone=VGG-16, Shots=1-Shot, Params=34.7M2020.0841.9
AMPBackbone=VGG-16, Shots=5-Shot, Params=34.7M2020.0841.8
InMeMoType=Prompt Selection2026.0141.65
CONDENSERK=12026.0140.39
CONDENSERK=162026.0140.37
SG-OneBackbone=VGG-16, Shots=1-Shot, Params=19.0M2020.0840.2
Prompt-SelF2026.0140.13
Task-Level PromptingType=Prompt Selection2026.0139.09
Partial2GlobalType=Prompt Selection2026.0138.81
InMeMo2026.0138.74
co-FCNBackbone=VGG-16, Shots=5-Shot, Params=34.2M2020.0837.5
SupPRType=Single2026.0137.08
co-FCNBackbone=VGG-16, Shots=1-Shot, Params=34.2M2020.0836.7
OSLSMBackbone=VGG-16, Shots=5-Shot, Params=276.7M2020.0835.9
Prompt-SelfType=Prompt Selection2026.0135.69
UnsupPRType=Single2026.0134.75
OSLSMBackbone=VGG-16, Shots=1-Shot, Params=276.7M2020.0833.6
RandomType=Single2026.0128.66