HyperAI
HomeNewsLatest PapersTutorialsDatasetsWikiSOTALLM ModelsGPU LeaderboardEvents
Search
About
HyperAI

Person Re Identification On Cuhk03

Metrics

Rank-1
Rank-10
Rank-5

Results

Performance results of various models on this benchmark

Model Name
Rank-1
Rank-10
Rank-5
Paper TitleRepository
AlignedReID (RK)97.899.899.6AlignedReID: Surpassing Human-Level Performance in Person Re-Identification
HA-CNN41.7--Harmonious Attention Network for Person Re-Identification
VI+LSRO 384.6--Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in vitro
OSNet---Omni-Scale Feature Learning for Person Re-Identification
k-reciprocal 4661.6--Re-ranking Person Re-identification with k-reciprocal Encoding-
DG-Net65.6--Joint Discriminative and Generative Learning for Person Re-identification
TriNet89.63-99.01In Defense of the Triplet Loss for Person Re-Identification
UTAL56.3--Unsupervised Tracklet Person Re-Identification
ProNet++ (ResNet50+RK)90.6--Rethinking Person Re-identification from a Projection-on-Prototypes Perspective-
UniHCP (finetune)---UniHCP: A Unified Model for Human-Centric Perceptions
DLCE83.4--A Discriminatively Learned CNN Embedding for Person Re-identification
TriNet + Era + Reranking (ACNet, bs=32)64.8--Adaptively Connected Neural Networks
OIM Loss 4577.5--Joint Detection and Identification Feature Learning for Person Search
Deep Constrained Dominant Sets95.8-99.1Deep Constrained Dominant Sets for Person Re-identification
FD-GAN92.6--FD-GAN: Pose-guided Feature Distilling GAN for Robust Person Re-identification
Unsupervised Pre-training (ResNet50+BDB)81.9--Unsupervised Pre-training for Person Re-identification
Weakly Supervised Pre-training (ResNet50+BDB)84.7--Large-Scale Pre-training for Person Re-identification with Noisy Labels
ProNet++85.2--Rethinking Person Re-identification from a Projection-on-Prototypes Perspective-
Proposed SGGNN---Person Re-identification with Deep Similarity-Guided Graph Neural Network-
0 of 19 row(s) selected.