Person Re-Identification
41개 벤치마크 · 논문 1,597편 · 이 태스크의 논문 보기 →
Benchmarks
Market-1501
DukeMTMC-reID
MSMT17
Occluded-DukeMTMC
Market-1501-C
CUHK03 labeled
MARS
CUHK03
CUHK03 detected
LTCC
PRCC
PRID2011
SYSU-30k
iLIDS-VID
CUHK03-C
VC-Clothes
MSMT17-C
Occluded REID
eSports Sensors Dataset
CCVID
UAV-Human
CUHK-SYSU
AG-ReID
CUHK03 (detected)
DukeMTMC-VideoReID
DukeTracklet
IUST_PersonReID
P-DukeMTMC-reID
Partial-REID
SYSU-MM01-C
AG-ReID.v2
ClonedPerson
ENTIRe-ID
Market-1501+500k
Occluded-PoseTrack-ReID
RegDB
SYSU-MM01
SenseReID
SoccerNet-v2
Most implemented
Deep Residual Learning for Image Recognition
MobileNetV2: Inverted Residuals and Linear Bottlenecks
Densely Connected Convolutional Networks
A Simple Framework for Contrastive Learning of Visual Representations
Simple Online and Realtime Tracking with a Deep Association Metric
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
Papers
Human-JEPA: A Human-Centric Vision Model that Perceives and Anticipates
Machines that understand humans should perceive the present and anticipate the future. Existing human-centric vision model are pretrained on human images, set the state of the art in static dense perception, so motion an…
Person Re-IdentificationPaths: Prompt-aware Spatio-temporal Transformer with Hierarchical Multi-modal Fusion for RGB-Event Video Person Re-Identification
RGB-Event Video Person Re-Identification (RE-VReID) aims to retrieve specific person across non-overlapping cameras with complementary RGB videos and event streams. However, existing methods often decouple spatial and te…
Person Re-IdentificationRepresentation LearningCollaborative Feature Aggregation for Face Super-Resolution and Robust Re-Identification
We propose a novel collaborative approach for face super-resolution (SR) and robust person re-identification from sequential or multi-view facial images. Traditional SR methods often suffer from blurring and distortion i…
Person Re-IdentificationImage RestorationANFI: Rethinking Neighbor Feature Interaction in Person Re-ID
In person re-identification, neighbor-based methods have achieved significant success by interacting with neighbor samples to obtain more robust representations. However, existing methods rely only on affinity relations,…
Person Re-IdentificationBlurring Modal Boundaries: A Unified Survey from Single- to Multi-Modal Person Re-ldentification
Person re-identification (ReID) serves as a critical component in intelligent surveillance systems, aiming to match identities across disjoint camera networks. While traditional methods primarily rely on single-modal RGB…
Person Re-IdentificationStructural-Semantic Reciprocal Learning for Unsupervised Visible-Infrared Person Re-Identification
Unsupervised visible-infrared person re-identification (USVI-ReID) is challenging due to the large modality gap and the lack of cross-modal identity annotations. Progressive association paradigms have been proposed to gr…
Person Re-Identification