Person Re Identification On Cuhk03 Detected

Metrics

MAP

Rank-1

Results

Performance results of various models on this benchmark

			Paper Title
Top-DB-Net + RK	86.9	85.7	Top-DB-Net: Top DropBlock for Activation Enhancement in Person Re-Identification
DiP (without RK)	83.1	85.4	DiP: Learning Discriminative Implicit Parts for Person Re-Identification
LightMBN (w/o ReRank)	82.4	84.9	Lightweight Multi-Branch Network for Person Re-Identification
Deep Miner (w/o ReRank)	81.4	83.5	Deep Miner: A Deep and Multi-branch Network which Mines Rich and Diverse Features for Person Re-identification
MPN (without re-ranking)	79.1	83.4	Multi-task Learning with Coarse Priors for Robust Part-aware Person Re-identification
PLR-OSNet	77.2	80.4	Learning Diverse Features with Part-Level Resolution for Person Re-Identification
Pyramid (CVPR'19)	74.8	78.9	Pyramidal Person Re-IDentification via Multi-Loss Dynamic Training
Top-DB-Net	74.2	77.3	Top-DB-Net: Top DropBlock for Activation Enhancement in Person Re-Identification
Auto-ReID (ICCV'19)	69.3	73.3	Auto-ReID: Searching for a Part-aware ConvNet for Person Re-Identification
OSNet (ICCV'19)	67.8	72.3	Omni-Scale Feature Learning for Person Re-Identification
MGN (ACM MM'18)	66.0	68.0	Learning Discriminative Features with Multiple Granularities for Person Re-Identification
DaRe+RE (CVPR'18)	59.0	63.3	Resource Aware Person Re-identification across Multiple Resolutions
HA-CNN (CVPR'18)	38.6	41.7	Harmonious Attention Network for Person Re-Identification
SVDNet-ResNet50	37.3	41.5	SVDNet for Pedestrian Retrieval
IDE-R+XQDA	28.2	31.1	Re-ranking Person Re-identification with k-reciprocal Encoding
SVDNet-CaffeNet	24.9	27.7	SVDNet for Pedestrian Retrieval
IDE-R	19.7	21.3	Re-ranking Person Re-identification with k-reciprocal Encoding
IDE-C+XQDA	19.0	21.1	Re-ranking Person Re-identification with k-reciprocal Encoding
IDE-C	14.2	15.1	Re-ranking Person Re-identification with k-reciprocal Encoding

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Person Re Identification On Cuhk03 Detected | SOTA | HyperAI