Person Search
48 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
Datasets
CUHK-SYSU
PRW
MovieNet
ICFG-PEDES
Market1501-Attributes
DukeMTMC-attribute
CUHK-QA
Most implemented papers
Segmentation Mask Guided End-to-End Person Search
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
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
We propose a method based on binary search trees and a large peer-labelled color name dataset.
Interactive Natural Language-based Person Search
In this work, we consider the problem of searching people in an unconstrained environment, with natural language descriptions.
The P-DESTRE: A Fully Annotated Dataset for Pedestrian Detection, Tracking, Re-Identification and Search from Aerial Devices
KaiyangZhou/deep-person-reid
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Over the last decades, the world has been witnessing growing threats to the security in urban spaces, which has augmented the relevance given to visual surveillance solutions able to detect, track and identify persons of interest in crowds.
Norm-Aware Embedding for Efficient Person Search
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
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
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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
Person search aims at jointly solving Person Detection and Person Re-identification (re-ID).
Anchor-Free Person Search
daodaofr/AlignPS
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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).
