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Text-based Person Search on CUHK-PEDES

77.43Recall@1DAPL
3.839622.944842.0561.1552Apr 12, 2023Oct 10, 2023Apr 9, 2024Oct 8, 2024Apr 8, 2025Oct 7, 2025Apr 7, 2026

Evaluation results

MethodLinks
DAPL2024.0577.4390.7394.268.35
CONQUERImage Enc.=CLIP-ViT, Text Enc.=CLIP-Xformer2026.0177.1390.06—68.75
APTM2023.0676.5390.0494.1566.91
APTMVenue=MM’232024.0576.5390.0494.1566.91
RaSaVenue=IJCAI’232024.0576.5190.2994.2569.38
RDEImage Enc.=CLIP-ViT, Text Enc.=CLIP-Xformer2026.0175.9490.14—67.56
RDEVenue=CVPR’242024.0575.9490.1494.1267.56
DPImage Enc.=CLIP-ViT, Text Enc.=CLIP-Xformer2026.0175.6690.59—66.58
CFAMImage Enc.=CLIP-ViT, Text Enc.=CLIP-Xformer2026.0175.690.53—67.27
PLOTVenue=ECCV’242024.0575.2890.4294.12—
OCDLImage Enc.=CLIP-ViT, Text Enc.=CLIP-Xformer2026.0175.189.43—68.18
DCELImage Enc.=CLIP-ViT, Text Enc.=CLIP-Xformer2026.0175.0290.89——
DECLVenue=MM’232024.0575.0290.8994.52—
FSRLVenue=ICMR’242024.0574.8689.9794.1467.57
MGRLImage Enc.=CLIP-ViT, Text Enc.=CLIP-Xformer2026.0173.9190.68—67.28
TBPSImage Enc.=CLIP-ViT, Text Enc.=CLIP-Xformer2026.0173.5488.19—65.38
IRRAImage Enc.=CLIP-ViT, Text Enc.=CLIP-Xformer2026.0173.3889.93—66.13
IRRAVenue=CVPR’232024.0573.3889.9393.7166.13
DM-AdapterImage Enc.=CLIP-ViT, Text Enc.=CLIP-Xformer2026.0172.1788.74—64.33
LuPerson-HAM + Ours (UATTA)Adaptation Paradigm=Pretrain-then-Adapt (Pre-Adp), Adaptation Rounds=102026.0470.9286.8991.8663.5
LuPerson-HAM + TCRAdaptation Paradigm=Pretrain-then-Adapt (Pre-Adp), Adaptation Rounds=102026.0470.6687.2192.1363.6
LuPerson-HAM + SARAdaptation Paradigm=Pretrain-then-Adapt (Pre-Adp), Adaptation Rounds=102026.0470.6386.8791.7963.4
LuPerson-HAMAdaptation Paradigm=Pure pretraining (no adaptation / finetuning)2026.0470.5986.8991.7863.39
LuPerson-HAM + SHOTAdaptation Paradigm=Pretrain-then-Adapt (Pre-Adp), Adaptation Rounds=102026.0470.4386.991.9963.3
LuPerson-HAM + TentAdaptation Paradigm=Pretrain-then-Adapt (Pre-Adp), Adaptation Rounds=102026.0470.387.0291.7463.26
LuPerson-HAM + CoOpAdaptation Paradigm=Pretrain-then-Adapt (Pre-Adp), Adaptation Rounds=102026.0470.0986.4891.3263.1
LuPerson-HAM + READAdaptation Paradigm=Pretrain-then-Adapt (Pre-Adp), Adaptation Rounds=102026.0470.0686.9891.8263.12
CFine2023.0669.5785.9391.15—
CFineImage Enc.=CLIP-ViT, Text Enc.=BERT2026.0169.5785.93——
CFineVenue=TIP’232024.0569.5785.9391.15—
UniPTImage Enc.=CLIP-ViT, Text Enc.=CLIP-Xformer2026.0168.584.67——
ECCAAdaptation Paradigm=Semi-supervised Domain Adaptation2026.0468.1387.2691.88—
CTGIImage Enc.=CLIP-ViT, Text Enc.=CLIP-Xformer2026.0167.8285.45—55.14
LCR2SImage Enc.=RN50, Text Enc.=TextCNN2026.0167.3684.19—59.24
Baselinedescription=without pretraining on MALS2023.0666.4484.9290.7659.19
IVTPre-training=MALS (1.5M pairs)2023.0666.183.7989.46—
BEATImage Enc.=RN101, Text Enc.=BERT2026.0165.6183.45——
IVTPre-training=4M general image-text pairs2023.0665.5983.1189.21—
IVTImage Enc.=ViT-Base, Text Enc.=BERT2026.0165.5983.11—60.66
LGUR2023.0665.2583.1289—
SRCF2023.0664.8883.0288.56—
VAL-PAT2023.0464.783.388.9—
AXM-Net2023.0664.4480.5286.7758.73
CAIBC2023.0664.4382.8788.37—
TextReIDAdaptation Paradigm=Semi-supervised Domain Adaptation2026.0464.481.2787.9661.19
LGUR2023.0464.281.987.9—
LBUL2023.0664.0482.6687.22—
SRCF2023.04648388.8—
Generation-then-RetrievalAdaptation Paradigm=Semi-supervised Domain Adaptation2026.0463.87——57.18
TIPCB2023.0663.6382.8289.01—
TextReIDPre-training=30k image-text pairs from MALS2023.0661.8180.3986.9—
TBPS2023.0661.6580.9886.78—
TextReIDBackbone=ResNet502023.0661.6580.9886.7858.29
NAFSconfig_version=v22023.0661.581.1987.51—
SSAN2023.0461.480.286.7—
SSAN2023.0661.3780.1586.73—
SSANImage Enc.=RN50, Text Enc.=LSTM2026.0161.3780.15——
NAFS*variant=*2023.0461.280.687.2—
MGEL2023.0660.2780.0186.74—
DSSL2023.046080.487.6—
DSSL2023.0659.9880.4187.56—
NAFSconfig_version=v12023.0659.9479.8686.754.07
NAFS2023.0459.979.986.7—
MUMAAdaptation Paradigm=Unsupervised Domain Adaptation2026.0459.5277.7984.6552.75
HGAN2023.045979.586.6—
HGAN2023.065979.4986.62—
SYNTH-PEDESAdaptation Paradigm=Pure pretraining (no adaptation / finetuning)2026.0457.58——52.45
CMMTAdaptation Paradigm=Semi-supervised Domain Adaptation2026.0457.178.1485.23—
CMAAM2023.0456.777.284.9—
CMAAM2023.0656.6877.1884.86—
IMG-Net2023.0656.4876.8985.01—
VITAA2023.045675.883.5—
ViTAA2023.0655.9775.8483.5251.6
IVTType=Baseline2023.0655.7575.6884.13—
ViTAAImage Enc.=RN50, Text Enc.=LSTM2026.0154.9275.18—51.6
TIMAM2023.0454.577.684.8—
PSPDAdaptation Paradigm=Unsupervised Domain Adaptation2026.0453.4772.8176.5746.41
A-GANet2023.0653.1474.0381.95—
MIA2023.0653.17582.9—
CMPM+CMPC2023.0649.37—79.21—
GTRAdaptation Paradigm=Unsupervised Domain Adaptation2026.0448.4968.8876.5143.67
GAAPAdaptation Paradigm=Unsupervised Domain Adaptation2026.0447.6467.7976.0841.28
Dual Path2023.0644.466.2675.07—
GLA2023.0643.5866.9376.2—
LuPerson-MLLMAdaptation Paradigm=Pure pretraining (no adaptation / finetuning)2026.0438.2956.664.5620.43
PWM-ATH2023.0627.1449.4561.02—
LuPerson-TAdaptation Paradigm=Pure pretraining (no adaptation / finetuning)2026.0421.88——19.96
GNA-RNN2023.0619.05—53.64—
CNN-RNN2023.068.07—32.47—
CLIPAdaptation Paradigm=Pure pretraining (no adaptation / finetuning)2026.046.6717.91—2.51