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Person Re Identification On Market 1501 C

Metrics

Rank-1
mAP
mINP

Results

Performance results of various models on this benchmark

Model Name
Rank-1
mAP
mINP
Paper TitleRepository
OS-Net30.9410.370.23Omni-Scale Feature Learning for Person Re-Identification-
Aligned++31.0010.950.32AlignedReID: Surpassing Human-Level Performance in Person Re-Identification-
LGPR27.728.260.24A Person Re-identification Data Augmentation Method with Adversarial Defense Effect-
CaceNet42.9218.240.67Devil in the Details: Towards Accurate Single and Multiple Human Parsing-
CIL (ResNet-50)---Benchmarks for Corruption Invariant Person Re-identification-
MHN33.2910.690.38Mixed High-Order Attention Network for Person Re-Identification-
ABD-Net29.659.810.26ABD-Net: Attentive but Diverse Person Re-Identification-
BDB33.7910.950.32Batch DropBlock Network for Person Re-identification and Beyond-
TDB28.568.900.20Top-DB-Net: Top DropBlock for Activation Enhancement in Person Re-Identification-
DG-Net31.759.960.35Joint Discriminative and Generative Learning for Person Re-identification-
RRID36.5714.230.48Relation Network for Person Re-identification-
SBS (ResNet-50)34.1311.540.29FastReID: A Pytorch Toolbox for General Instance Re-identification-
TransReID53.1927.381.98TransReID: Transformer-based Object Re-Identification-
BoT (ResNet-50)27.058.420.20Bag of Tricks and A Strong Baseline for Deep Person Re-identification-
MGN29.569.720.29Learning Discriminative Features with Multiple Granularities for Person Re-Identification-
PCB34.9312.720.41Beyond Part Models: Person Retrieval with Refined Part Pooling (and a Strong Convolutional Baseline)-
AGW (ResNet-50)31.9012.130.35Deep Learning for Person Re-identification: A Survey and Outlook-
Pyramid35.7212.750.36Pyramidal Person Re-IDentification via Multi-Loss Dynamic Training-
LUPerson---Unsupervised Pre-training for Person Re-identification-
PLR-OS37.5614.230.48Learning Diverse Features with Part-Level Resolution for Person Re-Identification-
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Person Re Identification On Market 1501 C | SOTA | HyperAI