人员重识别
Person Re-Identification 是计算机视觉领域的一项任务,旨在通过视频或图像序列中的不同摄像头或位置匹配个人身份。该任务涉及检测和跟踪人员,并利用外观、体型和着装等特征,在多个非重叠摄像头视图中高效且稳健地识别同一人。其应用价值在于提升监控系统、智能安防和行人检索的准确性和效率。
Market-1501
LightMBN
DukeMTMC-reID
CTL Model (ResNet50, 256x128)
MSMT17
SOLIDER (with re-ranking)
Market-1501-C
CIL (ResNet-50)
CUHK03 labeled
PLR-OSNet
MARS
B-BOT + OSM + CL Centers* (Re-rank)
CUHK03
AlignedReID (RK)
CUHK03 detected
Top-DB-Net + RK
PRID2011
B-BOT + Attention and CL loss*
LTCC
AD-ViT
Occluded-DukeMTMC
BoT+UFFM+AMC
iLIDS-VID
GAF-Net
PRCC
CAL+GEFF
SYSU-30k
ResNet-50 (generalization)
CUHK03-C
CaceNet
eSports Sensors Dataset
MSMT17-C
SBS (ResNet-50)
Occluded REID
KPR + Pose2ID (no RK)
VC-Clothes
UAV-Human
DG-Net
CCVID
CAL+DLCR
CUHK-SYSU
AlignedReID
AG-ReID
VDT
CUHK03 (detected)
PAN+re-rank
DukeMTMC-VideoReID
PSTA
DukeTracklet
UTAL
IUST_PersonReID
CLIP-ReID
Market-1501->DukeMTMC-reID
OGNet
P-DukeMTMC-reID
BPBreID
Partial-REID
SYSU-MM01-C
AG-ReID.v2
V2E
ClonedPerson
DukeMTMC-reID->Market-1501
OGNet
ENTIRe-ID
TransReID (Strong Baseline)
Market-1501+500k
DLCE
Occluded-PoseTrack-ReID
RegDB
SenseReID
SoccerNet-v2
ViT-B/16
SYSU-MM01