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
Latest papers with no code
From Data Deluge to Data Curation: A Filtering-WoRA Paradigm for Efficient Text-based Person Search
In text-based person search endeavors, data generation has emerged as a prevailing practice, addressing concerns over privacy preservation and the arduous task of manual annotation.
Domain Generalizable Person Search Using Unreal Dataset
Collecting and labeling real datasets to train the person search networks not only requires a lot of time and effort, but also accompanies privacy issues.
Prototype-Guided Text-based Person Search based on Rich Chinese Descriptions
Text-based person search aims to simultaneously localize and identify the target person based on query text from uncropped scene images, which can be regarded as the unified task of person detection and text-based person retrieval task.
VGSG: Vision-Guided Semantic-Group Network for Text-based Person Search
With the help of relational knowledge transfer, VGKT is capable of aligning semantic-group textual features with corresponding visual features without external tools and complex pairwise interaction.
Generalizable Person Search on Open-world User-Generated Video Content
Person search is a challenging task that involves detecting and retrieving individuals from a large set of un-cropped scene images.
PSDiff: Diffusion Model for Person Search with Iterative and Collaborative Refinement
Dominant Person Search methods aim to localize and recognize query persons in a unified network, which jointly optimizes two sub-tasks, \ie, pedestrian detection and Re-IDentification (ReID).
Towards Fully Decoupled End-to-End Person Search
This enables independent learning for different objectives thus fully decoupled the model for persons earch.
Real-time distributed video analytics for privacy-aware person search
Therefore, even if edge processing is performed, there is still a need to store and transmit the cropped person images to the cloud server for displaying the results at the user-end.
Text-based Person Search without Parallel Image-Text Data
Text-based person search (TBPS) aims to retrieve the images of the target person from a large image gallery based on a given natural language description.
Calibrating Cross-modal Features for Text-Based Person Searching
On the other hand, the Masking Caption Modeling (MCM) loss leverages a masked captions prediction task to establish detailed and generic relationships between textual and visual parts.