Person Search
25 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
Benchmarks
These leaderboards are used to track progress in Person Search
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Datasets
CUHK-SYSU
PRW
MovieNet
P-DESTRE
DukeMTMC-attribute
Market1501-Attributes
CUHK-QA
Most implemented papers
Joint Detection and Identification Feature Learning for Person Search
Existing person re-identification benchmarks and methods mainly focus on matching cropped pedestrian images between queries and candidates.
Person Search in Videos with One Portrait Through Visual and Temporal Links
hqqasw/person-search-PPCC
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ECCV 2018
In real-world applications, e. g. law enforcement and video retrieval, one often needs to search a certain person in long videos with just one portrait.
ViTAA: Visual-Textual Attributes Alignment in Person Search by Natural Language
Person search by natural language aims at retrieving a specific person in a large-scale image pool that matches the given textual descriptions.
Person Search with Natural Language Description
ShuangLI59/Person-Search-with-Natural-Language-Description
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CVPR 2017
Searching persons in large-scale image databases with the query of natural language description has important applications in video surveillance.
Query-guided End-to-End Person Search
We extend this with i. a query-guided Siamese squeeze-and-excitation network (QSSE-Net) that uses global context from both the query and gallery images, ii.
advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns
whuAdv/AdvPattern
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ICCV 2019
The results demonstrate that deep re-ID systems are vulnerable to our physical attacks.
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.
