Person Search
36 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
P-DESTRE
DukeMTMC-attribute
CUHK-QA
Market1501-Attributes
Most implemented papers
Beyond Appearance: a Semantic Controllable Self-Supervised Learning Framework for Human-Centric Visual Tasks
tinyvision/SOLIDER
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CVPR 2023
Unlike the existing self-supervised learning methods, prior knowledge from human images is utilized in SOLIDER to build pseudo semantic labels and import more semantic information into the learned representation.
Efficient Person Search: An Anchor-Free Approach
daodaofr/AlignPS
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Third, by investigating the advantages of both anchor-based and anchor-free models, we further augment AlignPS with an ROI-Align head, which significantly improves the robustness of re-id features while still keeping our model highly efficient.
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.
Exploring Visual Context for Weakly Supervised Person Search
ljpadam/CGPS
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This paper inventively considers weakly supervised person search with only bounding box annotations.
Domain Adaptive Person Search
In this paper, we take a further step and present Domain Adaptive Person Search (DAPS), which aims to generalize the model from a labeled source domain to the unlabeled target domain.
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.
