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Person Re-identification on iLIDS-VID

88CMC-1SCAN+OF
6.04827.32448.669.876Apr 11, 2017Sep 2, 2018Jan 25, 2020Jun 17, 2021Nov 9, 2022Apr 1, 2024Aug 24, 2025

Evaluation results

MethodLinks
SCAN+OFoptical_flow=true2019.098896.7—————
Snippetsupervision=Supervised2019.0385.496.7—99.5———
Snippet+OFoptical_flow=true2019.0985.496.7—————
AGRLtest_strategy=Strategy 22019.0984.596.7—99.5———
STMP2019.0984.396.8—99.5———
AGRLtest_strategy=Strategy 12019.0983.795.4—99.5———
VRSTC2019.0983.495.5—99.5———
STAL2019.0982.895.3—98.8———
SCANoptical_flow=false2019.0981.393.3—98———
FedDIPBackbone=ResNet-502025.0880.61———78.4570.031.92
FedKLPRBackbone=ResNet-502025.0880.61———78.5870.012.03
STAN2019.0980.2——————
Snippetoptical_flow=false2019.0979.891.8—————
SubFedAVGBackbone=ResNet-502025.0878.57———75.2870.012.2
LotteryFLBackbone=ResNet-502025.0876.53———71.2470.011.94
RQEN2019.0976.192.9—99.3———
M3D2019.097494.33—————
PersonVLAD2019.0969.487.6—99.2———
AMOC+EFoptical_flow=true2019.0968.794.3—99.3———
QAN2017.046886.895.497.4———
QANSupervision=Supervised2018.096886.8—97.4———
QAN2019.096886.8—97.4———
ASTPN2019.096286—98———
DSAN+KISSME2019.0961.986.8—98.6———
CNN+AvePool2017.0460.684.989.893.6———
SDM2019.0960.284.7—95.2———
RFA-Net2019.0958.285.8—97.9———
CNN+RNN2017.0458849196———
RCN2019.095884—96———
TRL+XQDA2019.0957.781.7—94.1———
DALBackbone=ResNet502018.0856.980.687.391.9———
DAL2019.0356.980.6—91.9———
DASyno tracking fragmentation=true2019.0356.5——————
TDL2017.0456.387.695.698.3———
SeeForest2019.0955.286.5—97———
TKPfeature_type=deep learning2019.0854.679.486.993.5———
IDE+XQDA2019.095381.4—95.1———
DALBackbone=MobileNet2018.0852.876.783.491.6———
CNN+Min(cos)2017.0449.379.488.291.9———
Stepwise2018.0841.766.374.180.7———
SMPSupervision=Unsupervised2018.0941.766.3—80.7———
SMPno tracking fragmentation=true2019.0341.766.3—80.7———
eSDC2017.0441.363.572.783.1———
P2SNetfeature_type=deep learning2019.084068.578.190———
DVR2017.0439.561.171.781———
TMSLfeature_type=deep learning2019.0839.566.979.686.6———
LADF2017.043976.88996.8———
UnKISS2018.0838.265.775.984.1———
DGMMetric=MLAPG2017.0937.161.372.282———
DGM+MLAPGSupervision=Unsupervised2018.0937.161.3—82———
DGM+MLAPGuses ID labels for initialisation=true2019.0337.161.3—82———
STFV3D2017.043764.37786.9———
STFV3D2018.083764.37786.9———
KISSME2017.0436.567.878.887.1———
DGMFeature=IDE2017.0936.262.873.682.7———
DGM+IDE2018.0836.262.873.682.7———
DGM+IDESupervision=Unsupervised2018.0936.262.8—82.7———
DGM+IDEuses ID labels for initialisation=true2019.0336.262.8—82.7———
UnKISS2017.0935.963.374.983.4———
UnKISSSupervision=Unsupervised2018.0935.963.3—83.4———
UnKISS2019.0335.963.3—83.4———
UTAL2019.0335.159—83.8———
LFDA2017.0432.968.582.292.6———
MDTS-DTW2018.0831.562.172.882.4———
DTWSupervision=Unsupervised2018.0931.562.1—82.4———
DGMMetric=XQDA2017.0931.355.370.783.4———
PHDLfeature_type=handcrafted2019.0828.250.465.980.4———
TAUDLSupervision=Unsupervised2018.0926.751.3—82———
TAUDL2019.0326.751.3—82———
DVDL2017.0925.948.257.368.9———
DVDL2018.0825.948.257.368.9———
GRDL2017.0925.749.963.277.6———
GRDLSupervision=Unsupervised2018.0925.749.9—77.6———
GRDL2019.0325.749.9—77.6———
FV3D2017.0925.35468.387.3———
TopRank2017.0422.556.172.785.9———
RACEuses ID labels for initialisation=true2019.0319.339.3—68.7———
STFV3D*2017.0919.138.851.770.7———
KISSMEfeature_type=handcrafted2019.0817.641.755.368.7———
XQDAfeature_type=handcrafted2019.0816.838.652.363.6———
LERMfeature_type=handcrafted2019.0815.337.149.762———
PSDMLfeature_type=handcrafted2019.0813.533.845.656.3———
Salience2017.0910.224.835.552.9———
L22017.099.22027.946.9———