Person Retrieval
25 papers with code • 1 benchmarks • 2 datasets
Benchmarks
These leaderboards are used to track progress in Person Retrieval
| Trend | Dataset | Best Model | Paper | Code | Compare |
|---|---|---|---|---|---|
|
RSTPReid
ITCPR dataset
Most implemented papers
Beyond Part Models: Person Retrieval with Refined Part Pooling (and a Strong Convolutional Baseline)
huanghoujing/person-reid-triplet-loss-baseline
•
•
ECCV 2018
RPP re-assigns these outliers to the parts they are closest to, resulting in refined parts with enhanced within-part consistency.
Dual-Path Convolutional Image-Text Embeddings with Instance Loss
layumi/Image-Text-Embedding
•
•
In this paper, we propose a new system to discriminatively embed the image and text to a shared visual-textual space.
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
•
•
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
•
•
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
•
•
To showcase the potential of our new dataset, we propose an audiovisual baseline and benchmark for person retrieval.
HAT: Hierarchical Aggregation Transformers for Person Re-identification
AI-Zhpp/HAT
•
•
In this work, we take advantages of both CNNs and Transformers, and propose a novel learning framework named Hierarchical Aggregation Transformer (HAT) for image-based person Re-ID with high performance.
DSSL: Deep Surroundings-person Separation Learning for Text-based Person Retrieval
Many previous methods on text-based person retrieval tasks are devoted to learning a latent common space mapping, with the purpose of extracting modality-invariant features from both visual and textual modality.
Part-based Pseudo Label Refinement for Unsupervised Person Re-identification
In this paper, we propose a novel Part-based Pseudo Label Refinement (PPLR) framework that reduces the label noise by employing the complementary relationship between global and part features.
