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
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.
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.
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.
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.
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.
