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ResearchFormerly WizWand

Semantic Segmentation on PASCAL-5^i Fold-1

76.9mIoUIPMT
28.342440.948753.55566.1613Aug 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-shot2022.1076.9
IPMTBackbone=ResNet-101, Shots=1-shot2022.1075.5
IPMTBackbone=ResNet-50, Shots=5-shot2022.1074.7
CyCTRBackbone=ResNet-101, Shots=5-shot2022.1074
IPMTBackbone=ResNet-50, Shots=1-shot2022.1073.7
CyCTRBackbone=ResNet-50, Shots=5-shot2022.1073.5
HSNetBackbone=ResNet-50, Shots=5-shot2022.1073.2
NERTNetBackbone=ResNet-101, Shots=5-shot2022.1073.2
DCPBackbone=ResNet-50, Shots=5-shot2022.1073.1
NERTNetBackbone=ResNet-50, Shots=5-shot2022.1072.8
CyCTRBackbone=ResNet-101, Shots=1-shot2022.1072.7
NERTNetBackbone=ResNet-50, Shots=1-shot2022.1072.3
NERTNetBackbone=ResNet-101, Shots=1-shot2022.1071.8
DPCNShot=1-shot, Supervision=Pixel2022.0471.6
RePRIBackbone=ResNet-50, Shots=5-shot2022.1071.4
CyCTRBackbone=ResNet-50, Shots=1-shot2022.1071
PFENetBackbone=ResNet-50, Shots=5-Shot, Params=10.8M2020.0870.7
HSNetBackbone=ResNet-50, Shots=1-shot2022.1070.7
PFENetBackbone=ResNet-50, Shots=5-shot2022.1070.7
DPCNShot=1-shot, Supervision=Box2022.0470.5
DCPBackbone=ResNet-50, Shots=1-shot2022.1070.5
PFENetBackbone=ResNet-101, Shots=5-Shot, Params=10.8M2020.0870.4
PFENetBackbone=ResNet-101, Shots=5-shot2022.1070.4
CWTBackbone=ResNet-101, Shots=5-shot2022.1070.2
PFENetBackbone=ResNet-50, Shots=1-Shot, Params=10.8M2020.0869.5
PFENetBackbone=ResNet-50, Shots=1-shot2022.1069.5
PFENetBackbone=ResNet-101, Shots=1-Shot, Params=10.8M2020.0869.4
PFENetBackbone=ResNet-101, Shots=1-shot2022.1069.4
PFENetBackbone=VGG-16, Shots=5-Shot, Params=10.4M2020.0869.1
DANBackbone=ResNet-101, Shots=5-shot2022.1069
DANBackbone=ResNet-101, Shots=1-shot2022.1068.6
CWTBackbone=ResNet-50, Shots=5-shot2022.1068.5
RePRIBackbone=ResNet-50, Shots=1-shot2022.1068.3
PFENetBackbone=VGG-16, Shots=1-Shot, Params=10.4M2020.0868.2
CANetBackbone=ResNet-50, Shots=5-Shot, Params=19.0M2020.0867.8
PGNetBackbone=ResNet-50, Shots=5-Shot, Params=17.2M2020.0867.4
FWBFBackbone=ResNet-101, Shots=5-Shot2020.0867.4
RPMMsBackbone=ResNet-50, Shots=5-shot2022.1067.3
PGNetBackbone=ResNet-50, Shots=1-Shot, Params=17.2M2020.0866.9
RPMMsBackbone=ResNet-50, Shots=1-shot2022.1066.9
CANetBackbone=ResNet-50, Shots=1-Shot, Params=19.0M2020.0865.9
CWTBackbone=ResNet-101, Shots=1-shot2022.1065.2
PANetBackbone=VGG-16, Shots=5-Shot, Params=14.7M2020.0864.6
FWBFBackbone=ResNet-101, Shots=1-Shot2020.0864.5
FWBFBackbone=VGG-16, Shots=5-Shot2020.0862.9
CWTBackbone=ResNet-50, Shots=1-shot2022.1062
FWBFBackbone=VGG-16, Shots=1-Shot2020.0859.6
SG-OneBackbone=VGG-16, Shots=5-Shot, Params=19.0M2020.0858.6
SG-OneBackbone=VGG-16, Shots=1-Shot, Params=19.0M2020.0858.4
OSLSMBackbone=VGG-16, Shots=5-Shot, Params=276.7M2020.0858.1
PANetBackbone=VGG-16, Shots=1-Shot, Params=14.7M2020.0858
AMPBackbone=VGG-16, Shots=5-Shot, Params=34.7M2020.0855.5
VICL frameworkType=Ensemble, K=162026.0155.42
OSLSMBackbone=VGG-16, Shots=1-Shot, Params=276.7M2020.0855.3
VICL frameworkType=Ensemble, K=12026.0154.26
CONDENSERType=Fusion, K=162026.0152.06
co-FCNBackbone=VGG-16, Shots=1-Shot, Params=34.2M2020.0850.6
CONDENSERType=Fusion, K=12026.0150.31
AMPBackbone=VGG-16, Shots=1-Shot, Params=34.7M2020.0850.2
co-FCNBackbone=VGG-16, Shots=5-Shot, Params=34.2M2020.0850
InMeMoType=Prompt Selection2026.0147.68
VICL frameworkK=162026.0147.18
VICL frameworkK=12026.0147.05
Partial2Global w/ votingType=Voting2026.0145.5
CONDENSERK=162026.0144.85
CONDENSERK=12026.0144.54
Task-Level PromptingType=Prompt Selection2026.0144.37
InMeMo2026.0143.82
Prompt-Self w/ votingType=Voting2026.0143.34
Prompt-SelF2026.0142.14
Partial2GlobalType=Prompt Selection2026.0141.54
SupPRType=Single2026.0138.43
Prompt-SelfType=Prompt Selection2026.0138.25
UnsupPRType=Single2026.0135.92
RandomType=Single2026.0130.21