Person Re-Identification on Market-1501-C

22개 결과 · ⬇ CSV · JSON

Rank-1

Rank	Model	Rank-1	mAP	mINP	Rank-1	mAP	mINP	Paper	Code	Year
1	TransReID	53.19	27.38	1.98	–	–	–	TransReID: Transformer-based Object Re-Identification	heshuting555/TransReID · damo-cv/transreid · ChristmasStory/TransReID-main · +1	2021
2	CaceNet	42.92	18.24	0.67	–	–	–	Devil in the Details: Towards Accurate Single and Multiple Human Parsing	liutinglt/CE2P · Liuyixuan95/DORN	2018
3	PLR-OS	37.56	14.23	0.48	–	–	–	Learning Diverse Features with Part-Level Resolution for Person Re-Identification	AI-NERC-NUPT/PLR-OSNet	2020
4	RRID	36.57	14.23	0.48	–	–	–	Relation Network for Person Re-identification	cvlab-yonsei/RRID	2019
5	Pyramid	35.72	12.75	0.36	–	–	–	Pyramidal Person Re-IDentification via Multi-Loss Dynamic Training	TencentYoutuResearch/PersonReID-Pyramid	2018
6	PCB	34.93	12.72	0.41	–	–	–	Beyond Part Models: Person Retrieval with Refined Part Pooling (and a Strong Convolutional Baseline)	huanghoujing/person-reid-triplet-loss-baseline · syfafterzy/pcb_rpp_for_reid · syfafterzy/PCB_RPP · +26	2017
7	SBS (ResNet-50)	34.13	11.54	0.29	–	–	–	FastReID: A Pytorch Toolbox for General Instance Re-identification	JDAI-CV/fast-reid · linghu8812/tensorrt_tracker · Vill-Lab/2023-TIFS-DTIBA	2020
8	BDB	33.79	10.95	0.32	–	–	–	Batch DropBlock Network for Person Re-identification and Beyond	daizuozhuo/batch-feature-erasing-network · daizuozhuo/batch-dropblock-network · FaizaAslam2424/Faiza-Aslam · +2	2018
9	MHN	33.29	10.69	0.38	–	–	–	Mixed High-Order Attention Network for Person Re-Identification	chenbinghui1/MHN	2019
10	AGW (ResNet-50)	31.90	12.13	0.35	–	–	–	Deep Learning for Person Re-identification: A Survey and Outlook	layumi/Person_reID_baseline_pytorch · mangye16/ReID-Survey · zion-king/Deep-Learning-for-Person-Re-identification · +4	2020
11	DG-Net	31.75	9.96	0.35	–	–	–	Joint Discriminative and Generative Learning for Person Re-identification	layumi/Person_reID_baseline_pytorch · NVlabs/DG-Net · youwenjing/reid_mgn-dgnet · +9	2019
12	VPM	31.17	10.15	0.31	–	–	–	Perceive Where to Focus: Learning Visibility-aware Part-level Features for Partial Person Re-identification	YifanSun-ReID/VPM-reID	2019
13	Aligned++	31.00	10.95	0.32	–	–	–	AlignedReID: Surpassing Human-Level Performance in Person Re-Identification	huanghoujing/AlignedReID-Re-Production-Pytorch · mindspore-ai/models · h4veFunCodin9/Aligned_ReID · +12	2017
14	OS-Net	30.94	10.37	0.23	–	–	–	Omni-Scale Feature Learning for Person Re-Identification	mikel-brostrom/boxmot · KaiyangZhou/deep-person-reid · mikel-brostrom/yolov7_strongsort_osnet · +14	2019
15	ABD-Net	29.65	9.81	0.26	–	–	–	ABD-Net: Attentive but Diverse Person Re-Identification	vita-group/abd-net · TAMU-VITA/ABD-Net · hsfzxjy/dprn · +1	2019
16	MGN	29.56	9.72	0.29	–	–	–	Learning Discriminative Features with Multiple Granularities for Person Re-Identification	seathiefwang/MGN-pytorch · GNAYUOHZ/ReID-MGN · kilsenp/triplet-reid-pytorch · +13	2018
17	F-LGPR	29.35	9.08	0.23	–	–	–	A Person Re-identification Data Augmentation Method with Adversarial Defense Effect	finger-monkey/Data-Augmentation · finger-monkey/ReID_Adversarial_Defense	2021
18	TDB	28.56	8.90	0.20	–	–	–	Top-DB-Net: Top DropBlock for Activation Enhancement in Person Re-Identification	RQuispeC/top-dropblock	2020
19	LGPR	27.72	8.26	0.24	–	–	–	A Person Re-identification Data Augmentation Method with Adversarial Defense Effect	finger-monkey/Data-Augmentation · finger-monkey/ReID_Adversarial_Defense	2021
20	BoT (ResNet-50)	27.05	8.42	0.20	–	–	–	Bag of Tricks and A Strong Baseline for Deep Person Re-identification	PaddlePaddle/PaddleClas · layumi/Person_reID_baseline_pytorch · michuanhaohao/reid-strong-baseline · +5	2019