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المنصة
الرئيسية
SOTA
إعادة التعرف على الشخص
Person Re Identification On Market 1501 C
Person Re Identification On Market 1501 C
المقاييس
Rank-1
mAP
mINP
النتائج
نتائج أداء النماذج المختلفة على هذا المعيار القياسي
Columns
اسم النموذج
Rank-1
mAP
mINP
Paper Title
TransReID
53.19
27.38
1.98
TransReID: Transformer-based Object Re-Identification
CaceNet
42.92
18.24
0.67
Devil in the Details: Towards Accurate Single and Multiple Human Parsing
PLR-OS
37.56
14.23
0.48
Learning Diverse Features with Part-Level Resolution for Person Re-Identification
RRID
36.57
14.23
0.48
Relation Network for Person Re-identification
Pyramid
35.72
12.75
0.36
Pyramidal Person Re-IDentification via Multi-Loss Dynamic Training
PCB
34.93
12.72
0.41
Beyond Part Models: Person Retrieval with Refined Part Pooling (and a Strong Convolutional Baseline)
SBS (ResNet-50)
34.13
11.54
0.29
FastReID: A Pytorch Toolbox for General Instance Re-identification
BDB
33.79
10.95
0.32
Batch DropBlock Network for Person Re-identification and Beyond
MHN
33.29
10.69
0.38
Mixed High-Order Attention Network for Person Re-Identification
AGW (ResNet-50)
31.90
12.13
0.35
Deep Learning for Person Re-identification: A Survey and Outlook
DG-Net
31.75
9.96
0.35
Joint Discriminative and Generative Learning for Person Re-identification
VPM
31.17
10.15
0.31
Perceive Where to Focus: Learning Visibility-aware Part-level Features for Partial Person Re-identification
Aligned++
31.00
10.95
0.32
AlignedReID: Surpassing Human-Level Performance in Person Re-Identification
OS-Net
30.94
10.37
0.23
Omni-Scale Feature Learning for Person Re-Identification
ABD-Net
29.65
9.81
0.26
ABD-Net: Attentive but Diverse Person Re-Identification
MGN
29.56
9.72
0.29
Learning Discriminative Features with Multiple Granularities for Person Re-Identification
F-LGPR
29.35
9.08
0.23
A Person Re-identification Data Augmentation Method with Adversarial Defense Effect
TDB
28.56
8.90
0.20
Top-DB-Net: Top DropBlock for Activation Enhancement in Person Re-Identification
LGPR
27.72
8.26
0.24
A Person Re-identification Data Augmentation Method with Adversarial Defense Effect
BoT (ResNet-50)
27.05
8.42
0.20
Bag of Tricks and A Strong Baseline for Deep Person Re-identification
0 of 22 row(s) selected.
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Person Re Identification On Market 1501 C | SOTA | HyperAI