Person Search
14 papers with code • 2 benchmarks • 7 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
| Trend | Dataset | Best Model | Paper Title | Paper | Code | Compare |
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CUHK-QA
Market1501-Attributes
DukeMTMC-attribute
MovieNet
P-DESTRE
Greatest papers with code
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.
Ranked #4 on
Person Re-Identification
on CUHK03
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.
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.
Sequential End-to-end Network for Efficient Person Search
Person search aims at jointly solving Person Detection and Person Re-identification (re-ID).
Ranked #1 on
Person Search
on CUHK-SYSU
Anchor-Free Person Search
daodaofr/AlignPS
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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).
Ranked #3 on
Person Search
on CUHK-SYSU
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).
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.
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.
Ranked #5 on
Text based Person Retrieval
on CUHK-PEDES
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.
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.