List your company

Semantic Segmentation on PASCAL 1-shot 5i

78.3mIoU (fold1)VRP-SAM
31.81243.88155.9568.019Mar 9, 2020Dec 9, 2020Sep 11, 2021Jun 13, 2022Mar 16, 2023Dec 16, 2023Sep 17, 2024

Evaluation results

MethodLinks
VRP-SAMImage encoder=ResNet-50, Learnable params=1.6M2024.0278.373.970.665——————————71.9
HDMNetImage encoder=ResNet-50, Learnable params=4.2M2024.0275.47168.962.1——————————69.4
VRP-SAMImage encoder=VGG-16, Learnable params=1.6M2024.0274.77068.361.9——————————68.7
DCAMAImage encoder=Swin-B, Learnable params=47.7M2024.0273.872.264.367.1——————————69.3
BAMImage encoder=ResNet-50, Learnable params=4.9M2024.0273.66967.661.1——————————67.8
MSDNetBackbone=ResNet101, # learnable params=1.55M2024.0972.867.658.26064.777.3—————————
NTRENetBackbone=ResNet50, # learnable params=15.4M2024.0972.365.459.459.864.277—————————
HSNetBackbone=ResNet101, # learnable params=2.5M2024.0972.367.36263.166.277.6—————————
NTRENetImage encoder=ResNet-50, Learnable params=19.9M2024.0272.365.459.459.8——————————64.2
VATImage encoder=ResNet-50, Learnable params=3.2M2024.027267.662.360.1——————————65.5
MSDNetBackbone=ResNet50, # learnable params=1.55M2024.0971.966.357.26264.377.1—————————
DPCNImage encoder=ResNet-502024.0271.665.769.160.6——————————66.7
HDMNetImage encoder=VGG-16, Learnable params=4.2M2024.0271.464.867.756.4——————————65.1
CyCTRImage encoder=ResNet-50, Learnable params=15.4M2024.027165.759.559.7——————————64
ABCNetBackbone=ResNet50, # learnable params=19.9M2024.0970.862.557.258.162.274.1—————————
BAMImage encoder=VGG-16, Learnable params=1.9M2024.0270.863.266.157.5——————————64.4
HSNetBackbone=ResNet50, # learnable params=2.5M2024.0970.764.360.360.56476.7—————————
HSNetImage encoder=ResNet-50, Learnable params=2.6M2024.0270.764.360.360.5——————————64
PFENetBackbone=ResNet50, # learnable params=10.3M2024.0969.561.755.456.360.873.3—————————
PFENetImage encoder=ResNet-50, Learnable params=10.4M2024.0269.561.755.456.3——————————60.8
PFENetImage encoder=VGG-16, Learnable params=10.4M2024.0268.256.954.552.4——————————58
SSPImage encoder=ResNet-50, Learnable params=8.7M2024.0267.860.566.451——————————61.4
PMMsBackbone=ResNet-50, Shots=1-shot, Ways=1-way2020.0867.5451.9851.5449.8155.22——————————
RPMMsBackbone=ResNet-50, Shots=1-shot, Ways=1-way2020.0866.9155.1552.6150.6856.34——————————
PGNetBackbone=ResNet50, # learnable params=17.2M2024.0966.95650.650.45669.9—————————
RPMMsBackbone=VGG16, Shots=1-shot, Ways=1-way2020.0865.8247.1450.5748.5453.02——————————
CANetBackbone=ResNet-50, Shots=1-shot, Ways=1-way, Test scale=multi-scale2020.0864.9749.5649.8351.4953.96——————————
FWBBackbone=ResNet101, # learnable params=43.0M2024.0964.551.356.752.256.270.9—————————
PFNetBackbone=ResNet-502020.0361.7—69.555.4————————56.3—60.8
PFNetBackbone=ResNet-1012020.0360.5—69.454.4————————55.9—60.1
FWBBackbone=VGG16, Shots=1-shot, Ways=1-way2020.0859.6447.0452.5148.2751.9——————————
SG-OneBackbone=VGG16, Shots=1-shot, Ways=1-way2020.0858.440.248.438.446.3——————————
PANetBackbone=VGG16, Shots=1-shot, Ways=1-way2020.085842.351.141.248.1——————————
PANetBackbone=ResNet50, # learnable params=23.5M2024.0957.54450.84449.1——————————
DoG-LSTMBackbone=ResNet-1012020.0357—67.256.1————————54.3—58.7
PFNetBackbone=VGG-162020.0356.9—68.254.4————————52.4—58
DoG-LSTMBackbone=VGG-162020.0356.2—6656.1————————53.8—58
PGNetBackbone=ResNet-502020.0356—66.950.6————————50.4—56
OSLSMBackbone=VGG16, Shots=1-shot, Ways=1-way2020.0855.333.640.933.540.8——————————
RPMMBackbone=ResNet-502020.0355.2—66.952.6————————50.7—56.3
DANBackbone=ResNet-1012020.0354.7—68.657.8————————51.6—58.2
LTMBackbone=ResNet-502020.0352.8—69.653.2————————52.3—57
CANetBackbone=ResNet-502020.0352.5—65.951.3————————51.9—55.4
FWBBackbone=ResNet-1012020.0351.3—64.556.7————————52.2—56.2
co-FCNBackbone=VGG16, Shots=1-shot, Ways=1-way2020.0850.636.744.932.441.1——————————
PPNetBackbone=ResNet-50, report_with_additional_unlabeled_data=false2020.0347.8—58.853.8————————45.6—51.5
RPMMBackbone=VGG-162020.0347.1—65.850.6————————48.5—53
FWBBackbone=VGG-162020.0347—59.652.6————————48.3—51.9
OSAdvBackbone=VGG-162020.0346.9—59.249.3————————43.4—49.7
ARNetBackbone=VGG-162020.0342.6—59.550.2————————40.2—48.1
PANetBackbone=VGG-162020.0342.3—5851.1————————41.2—48.1
Meta-SegBackbone=VGG-162020.0342.2—59.648.1————————44.4—48.6
AMPBackbone=VGG-162020.0341.9—50.246.7————————34.7—43.4
SG-OneBackbone=VGG-162020.0340.2—58.448.4————————38.4—46.3
MDLBackbone=VGG-162020.0339.7—58.346.7————————36.3—45.3
co-FCNBackbone=VGG-162020.0336.7—50.644.9————————32.4—41.1
OSLSMBackbone=VGG-162020.0333.6—55.340.9————————33.5—40.8
A-MCGShot=1-shot2019.08———————————61.2———
A-MCGShot=5-shot2019.08———————————62.2———
CANetShots=1-shot2019.03——————7176.75467.266.2————
CANetShots=5-shot2019.03——————74.280.35766.869.6————
CLIP-Deconv (PC+)t=0.2, vis. backb.=ViT (CLIP), Trained on=PhraseCut+2021.12————48——————65.8—68—
CLIPSeg (PC)t=0.3, vis. backb.=ViT (CLIP), Trained on=PhraseCut2021.12————52.3——————69.5—72.4—
CLIPSeg (PC+)t=0.3, vis. backb.=ViT (CLIP), Trained on=PhraseCut+2021.12————59.5——————75—82.3—
co-FCNShots=1-shot2019.03——————————60.1————
co-FCNShots=5-shot2019.03——————————60.2————
co-FCNShot=1-shot2019.08———————————60.1———
co-FCNShot=5-shot2019.08———————————60.2———
CRNetBackbone=VGG-162020.03——————————————55.2
CRNetBackbone=ResNet-502020.03——————————————55.7
FG-BGShot=1-shot2019.08———————————55———
Fine-tuningShot=1-shot2019.08———————————55.1———
Fine-tuningShot=5-shot2019.08———————————55.6———
HSNetvis. backb.=RN502021.12————64——————76.7———
HSNetvis. backb.=RN1012021.12————66.2——————77.6———
MiningFSSFPS=27.8, Params=8.7 M2021.03————62.1——————————
OSLSMShots=1-shot2019.03——————————61.3————
OSLSMShots=5-shot2019.03——————————61.5————
OSLSMShot=1-shot2019.08———————————61.3———
OSLSMShot=5-shot2019.08———————————61.5———
PANetShot=1-shot2019.08———————————66.5———
PANetShot=5-shot2019.08———————————70.7———
PANet-initShot=1-shot2019.08———————————58.9———
PANet-initShot=5-shot2019.08———————————65.7———
PFENetFPS=15.7, Params=34.3 M2021.03————60.8——————————
PFENetvis. backb.=RN502021.12————60.2——————73.3———
PFENetvis. backb.=RN1012021.12————59.6——————72.9———
PLShots=1-shot2019.03——————————61.2————
PLShots=5-shot2019.03——————————62.3————
PLShot=1-shot2019.08———————————61.2———
PLShot=5-shot2019.08———————————62.3———
PMMsFPS=18.2, Params=19.6 M2021.03————56.3——————————
PPNetvis. backb.=RN502021.12————52.8——————69.2———
PPNetvis. backb.=RN1012021.12————55.2——————70.9———
RePRIvis. backb.=RN502021.12————59.7——————————
RePRIvis. backb.=RN1012021.12————59.4——————————
SG-OneShot=1-shot2019.08———————————63.9———
SG-OneShot=5-shot2019.08———————————65.9———
ViTSeg (PC+)t=0.2, vis. backb.=ViT (IN), Trained on=PhraseCut+2021.12————39——————59—62.4—