Person Search

47 papers with code • 2 benchmarks • 9 datasets

Person Search is a task which aims at matching a specific person among a great number of whole scene images.

Source: Re-ID Driven Localization Refinement for Person Search

Most implemented papers

Segmentation Mask Guided End-to-End Person Search

Dingyuan-Zheng/maskPS 27 Aug 2019

Person search aims to search for a target person among multiple images recorded by multiple surveillance cameras, which faces various challenges from both pedestrian detection and person re-identification.

Knowledge Distillation for End-to-End Person Search

munjalbharti/Knowledge-Distillation-for-End-to-End-Person-Search 3 Sep 2019

We employ this to supervise the detector of our person search model at various levels using a specialized detector.

Color inference from semantic labeling for person search in videos

Smoltbob/XKCDColors-Dataset 29 Nov 2019

We propose a method based on binary search trees and a large peer-labelled color name dataset.

Interactive Natural Language-based Person Search

vikshree/QA_PersonSearchLanguageData 19 Feb 2020

In this work, we consider the problem of searching people in an unconstrained environment, with natural language descriptions.

Norm-Aware Embedding for Efficient Person Search

DeanChan/NAE4PS CVPR 2020

Person Search is a practically relevant task that aims to jointly solve Person Detection and Person Re-identification (re-ID).

Symbiotic Adversarial Learning for Attribute-based Person Search

ycao5602/SAL ECCV 2020

The current state-of-the-art methods either focus on learning better cross-modal embeddings by mining only seen data, or they explicitly use generative adversarial networks (GANs) to synthesize unseen features.

Multi-Attribute Enhancement Network for Person Search

chenlq123/MAE 16 Feb 2021

Visual character attributes play a key role in retrieving the query person, which has been explored in Re-ID but has been ignored in Person Search.

Sequential End-to-end Network for Efficient Person Search

serend1p1ty/SeqNet 18 Mar 2021

Person search aims at jointly solving Person Detection and Person Re-identification (re-ID).

Anchor-Free Person Search

daodaofr/AlignPS CVPR 2021

Person search aims to simultaneously localize and identify a query person from realistic, uncropped images, which can be regarded as the unified task of pedestrian detection and person re-identification (re-id).

Improved Instance Discrimination and Feature Compactness for End-to-End Person Search

Vill-Lab/2021-TCSVT-IIDFC IEEE Transactions on Circuits and Systems for Video Technology 2021

Our method achieves comparable performance on two benchmarks, CUHK-SYSU and PRW, and achieves 91. 96% of mAP and 93. 34% of rank1 accuracy on CUHK-SYSU.