Work

Swap Path Network for Robust Person Search Pre-training

Year: 2025

Type: article

Abstract: This code corresponds to the WACV25 conference paper, "Swap Path Network for Robust Person Search Pre-training". In that paper, we introduce a new model for the person search task called the Swap Path Net (SPNet). The person search task is a problem in computer vision, where we locate and rank matches to an image of a query person in a set of other images where we want to find them. We also introduce a novel pre-training algorithm specific to the Swap Path Net architecture. The code implements pre-training and fine-tuning of the Swap Path Net (SPNet). This includes ingesting image datasets and updating the weights of the SPNet neural network to train it for the person search task. The repository contains code, configs, and instructions to reproduce all results from the paper.

Source: OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)

DOI: 10.11578/dc.20250507.1

Author: Jaffe, Lucas

Institutions: Lawrence Livermore National Laboratory, University of California, Berkeley

Language: English

Topic: Video Surveillance and Tracking Methods

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funder: Office of Infrastructure and Environment

Award: G5440007341