Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

IR Frequency Region: Fingerprint Region01:03

IR Frequency Region: Fingerprint Region

1.0K
IR spectra are divided into two main regions: the diagnostic region and the fingerprint region. The diagnostic region of the spectrum lies above 1500 cm−1. The absorptions resulting from single-bond vibrations of the N–H, C–H, and O–H stretch at higher wavenumbers and appear on the left side of the spectrum. The stretching absorptions of the C≡C and C≡N occur between 2100–2300 cm−1. In contrast, those arising from stretching absorptions of the...
1.0K
Force Classification01:22

Force Classification

1.3K
Forces play a crucial role in the study of physics and engineering. They are essential in describing the motion, behavior, and equilibrium of objects in the physical world. Forces can be classified based on their origin, type, and direction of action.
Contact and non-contact forces are two of the most widely used categories of forces. As the name suggests, contact forces require physical contact between two objects to act upon each other. Examples of contact forces include frictional,...
1.3K
Facial Feedback Hypothesis01:24

Facial Feedback Hypothesis

225
Charles Darwin proposed that facial expressions are an evolutionary adaptation for communication. He argued that these expressions are not influenced by culture but are universal across species. For example, a snarling expression with exposed teeth signals a threat in many animals, including humans. Darwin also suggested that displaying an emotion can intensify the feeling. Smiling, for example, could enhance one's sense of happiness. This idea laid the foundation for understanding the role...
225
Infrared (IR) Spectroscopy: Overview01:09

Infrared (IR) Spectroscopy: Overview

2.0K
When electromagnetic radiation passes through a material, atoms or molecules transition from a lower to a higher energy state by absorbing radiation corresponding to the energy difference between the two states. The absorption of infrared (IR) radiation causes transitions between vibrational energy levels in a molecule. Therefore, IR spectroscopy is a useful analytical tool for determining the molecular structure of molecules.
Different compounds display unique properties due to their...
2.0K
Light Acquisition02:16

Light Acquisition

8.6K
In order to produce glucose, plants need to capture sufficient light energy. Many modern plants have evolved leaves specialized for light acquisition. Leaves can be only millimeters in width or tens of meters wide, depending on the environment. Due to competition for sunlight, evolution has driven the evolution of increasingly larger leaves and taller plants, to avoid shading by their neighbors with contaminant elaboration of root architecture and mechanisms to transport water and nutrients.
8.6K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Ethical considerations and management strategies for fertility preservation in women of reproductive age with malignant tumors: Chinese practices and perspectives.

Frontiers in endocrinology·2026
Same author

Overall survival and long-term safety of olaparib maintenance in patients with platinum-sensitive relapsed ovarian cancer: final analyses of phase III L-MOCA trial.

Journal of ovarian research·2026
Same author

Efficacy and Safety of Pamiparib Monotherapy in Recurrent Ovarian Cancer After Prior PARPi Exposure: A Prospective, Open-Label, Single-Arm, Phase II Study.

The journal of obstetrics and gynaecology research·2026
Same author

UDD: Unsupervised denoising diffusion for noisy multi-focus image fusion.

Neural networks : the official journal of the International Neural Network Society·2026
Same author

Transcriptomic profiling reveals stage-specific responses to cold stress in rice seedlings.

BMC plant biology·2026
Same author

Adversarial discriminant attack on text-to-image diffusion models.

Neural networks : the official journal of the International Neural Network Society·2026

Related Experiment Video

Updated: Aug 10, 2025

Development of a Gaze-Contingent Display Framework Designed for Perceptual and Oculomotor Research with Simulated Central Vision Loss
07:12

Development of a Gaze-Contingent Display Framework Designed for Perceptual and Oculomotor Research with Simulated Central Vision Loss

Published on: April 11, 2025

489

Margin-Based Modal Adaptive Learning for Visible-Infrared Person Re-Identification.

Qianqian Zhao1, Hanxiao Wu1, Jianqing Zhu2,3

  • 1College of Information Science and Engineering, Huaqiao University, Xiamen 361021, China.

Sensors (Basel, Switzerland)
|February 11, 2023
PubMed
Summary

This study introduces a novel margin-based modal adaptive learning (MMAL) method to address challenges in visible-infrared person re-identification (VIPR). MMAL effectively learns discriminative features across modalities, achieving state-of-the-art performance in VIPR systems.

Keywords:
deep learningmaximum mean discrepancyvisible-infrared person re-identification

More Related Videos

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
06:37

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

3.9K
A Methodology for Capturing Joint Visual Attention Using Mobile Eye-Trackers
12:39

A Methodology for Capturing Joint Visual Attention Using Mobile Eye-Trackers

Published on: January 18, 2020

7.7K

Related Experiment Videos

Last Updated: Aug 10, 2025

Development of a Gaze-Contingent Display Framework Designed for Perceptual and Oculomotor Research with Simulated Central Vision Loss
07:12

Development of a Gaze-Contingent Display Framework Designed for Perceptual and Oculomotor Research with Simulated Central Vision Loss

Published on: April 11, 2025

489
Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
06:37

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

3.9K
A Methodology for Capturing Joint Visual Attention Using Mobile Eye-Trackers
12:39

A Methodology for Capturing Joint Visual Attention Using Mobile Eye-Trackers

Published on: January 18, 2020

7.7K

Area of Science:

  • Computer Vision
  • Artificial Intelligence
  • Machine Learning

Background:

  • Visible-infrared person re-identification (VIPR) is crucial for intelligent transportation and smart cities.
  • Significant modal discrepancies between visible and infrared images pose a major challenge for VIPR.
  • VIPR differs from domain adaptation; overemphasizing domain adaptation can diminish discriminative appearance information.

Purpose of the Study:

  • To propose a novel margin-based modal adaptive learning (MMAL) method for effective VIPR.
  • To learn appearance-discriminative features while mitigating modal discrepancies.
  • To enhance the performance of visible-infrared person re-identification systems.

Main Methods:

  • Utilized triplet and label smoothing cross-entropy functions on each domain to learn appearance-discriminative features.
  • Introduced a marginal maximum mean discrepancy (M3D) loss function to balance modal discrepancy suppression and feature discriminability.
  • Developed the margin-based modal adaptive learning (MMAL) framework for VIPR.

Main Results:

  • The MMAL method successfully learned modal-invariant yet appearance-discriminative features.
  • Achieved state-of-the-art performance on VIPR tasks.
  • Demonstrated superior results on the RegDB dataset (visible-to-infrared retrieval): 93.24% rank-1 accuracy and 83.77% mean average precision.

Conclusions:

  • The proposed MMAL method effectively addresses the challenges in visible-infrared person re-identification.
  • MMAL enhances VIPR by learning robust features that are invariant across modalities but discriminative in appearance.
  • The method shows significant potential for real-world applications in intelligent transportation and smart cities.