Person Retrieval
31 papers with code • 1 benchmarks • 3 datasets
Benchmarks
These leaderboards are used to track progress in Person Retrieval
| Trend | Dataset | Best Model | Paper | Code | Compare |
|---|---|---|---|---|---|
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RSTPReid
ITCPR dataset
Occluded-PoseTrack-ReID
Most implemented papers
Beyond Part Models: Person Retrieval with Refined Part Pooling (and a Strong Convolutional Baseline)
huanghoujing/person-reid-triplet-loss-baseline
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ECCV 2018
RPP re-assigns these outliers to the parts they are closest to, resulting in refined parts with enhanced within-part consistency.
Body Part-Based Representation Learning for Occluded Person Re-Identification
vlsomers/bpbreid
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Firstly, individual body part appearance is not as discriminative as global appearance (two distinct IDs might have the same local appearance), this means standard ReID training objectives using identity labels are not adapted to local feature learning.
Dual-Path Convolutional Image-Text Embeddings with Instance Loss
layumi/Image-Text-Embedding
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In this paper, we propose a new system to discriminatively embed the image and text to a shared visual-textual space.
PGDS: Pose-Guidance Deep Supervision for Mitigating Clothes-Changing in Person Re-Identification
Person Re-Identification (Re-ID) task seeks to enhance the tracking of multiple individuals by surveillance cameras.
Keypoint Promptable Re-Identification
vlsomers/bpbreid
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Inspired by recent work on prompting in vision, we introduce Keypoint Promptable ReID (KPR), a novel formulation of the ReID problem that explicitly complements the input bounding box with a set of semantic keypoints indicating the intended target.
Generalizing A Person Retrieval Model Hetero- and Homogeneously
Person re-identification (re-ID) poses unique challenges for unsupervised domain adaptation (UDA) in that classes in the source and target sets (domains) are entirely different and that image variations are largely caused by cameras.
Person Retrieval in Surveillance Video using Height, Color and Gender
Vanditg/Person-Retrieval-AVSS-2018
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2018 15th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS) 2019
A person is commonly described by attributes like height, build, cloth color, cloth type, and gender.
Pose-Guided Feature Alignment for Occluded Person Re-Identification
lightas/ICCV19_Pose_Guided_Occluded_Person_ReID
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ICCV 2019
Our method largely outperforms existing person re-id methods on three occlusion datasets, while remains top performance on two holistic datasets.
PeR-ViS: Person Retrieval in Video Surveillance using Semantic Description
Instead of using an image query, in this paper, we study the problem of person retrieval in video surveillance with a semantic description.
APES: Audiovisual Person Search in Untrimmed Video
fuankarion/audiovisual-person-search
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To showcase the potential of our new dataset, we propose an audiovisual baseline and benchmark for person retrieval.
