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

Retrieval01:12

Retrieval

112
Retrieval is the process of getting information out of memory storage and back into conscious awareness. This ability is essential for daily tasks like brushing hair and teeth, driving to work, and performing job duties. Retrieval occurs in three ways: recall, recognition, and relearning.
Recall involves accessing information without cues, such as during an essay test, where individuals must retrieve facts and concepts from memory unaided. Another example is remembering the name of a colleague...
112
Elaborative Rehearsals01:07

Elaborative Rehearsals

86
Elaborative rehearsal is a crucial cognitive strategy that strengthens information encoding in long-term memory by making meaningful connections between new data and pre-existing knowledge. This approach contrasts with maintenance rehearsal, which involves simple repetition without delving into the significance of the information. While maintenance rehearsal might temporarily keep information active in short-term memory, it is less effective for long-term retention.
The effectiveness of...
86
Color Vision01:24

Color Vision

573
Color perception begins in the retina, the light-sensitive layer at the back of the eye. Two main theories explain how colors are seen: the trichromatic theory and the opponent-process theory. The trichromatic theory, proposed by Thomas Young in 1802 and extended by Hermann von Helmholtz in 1852, suggests that color vision is based on three types of cone receptors in the retina. These cones are sensitive to different but overlapping ranges of wavelengths corresponding to red, blue, and green.
573
Photoreceptors and Visual Pathways01:22

Photoreceptors and Visual Pathways

6.0K
At the molecular level, visual signals trigger transformations in photopigment molecules, resulting in changes in the photoreceptor cell's membrane potential. The photon's energy level is denoted by its wavelength, with each specific wavelength of visible light associated with a distinct color. The spectral range of visible light, classified as electromagnetic radiation, spans from 380 to 720 nm. Electromagnetic radiation wavelengths exceeding 720 nm fall under the infrared category,...
6.0K

You might also read

Related Articles

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

Sort by
Same author

Taking Astray Domain Back Home for Single-Source Domain Generalizable Text-to-Image Person Retrieval.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same author

Hybrid AI Pipeline for Laboratory Detection of Internal Potato Defects Using 2D RGB Imaging.

Journal of imaging·2025
Same author

Understanding the Dimensional Need of Noncontrastive Learning.

IEEE transactions on cybernetics·2025
Same author

CSI-Former: Pay More Attention to Pose Estimation with WiFi.

Entropy (Basel, Switzerland)·2023
Same author

A Fast Multi-Scale Generative Adversarial Network for Image Compressed Sensing.

Entropy (Basel, Switzerland)·2022
Same author

Deep-Learning-Based End-to-End Predictions of CO<sub>2</sub> Capture in Metal-Organic Frameworks.

Journal of chemical information and modeling·2022
Same journal

A Survey on Human-Centric Voice-Face Multimodal Learning.

IEEE transactions on neural networks and learning systems·2026
Same journal

Vision-Assisted Foundation Model for Solving Multitask Vehicle Routing Problems.

IEEE transactions on neural networks and learning systems·2026
Same journal

FP3O: Enabling Proximal Policy Optimization in Multiagent Cooperation With Parameter-Sharing Versatility.

IEEE transactions on neural networks and learning systems·2026
Same journal

Hierarchical Semantic Concept Modeling for Generalizable Myocardial Pathology Segmentation on Multisequence CMR Images.

IEEE transactions on neural networks and learning systems·2026
Same journal

Stability of Time-Varying Impulsive Systems With State-Dependent Delay and Its Application in Complex Networks.

IEEE transactions on neural networks and learning systems·2026
Same journal

Adaptive Learning Control of Uncertain Systems via Weight and Intrinsic Plasticity-Based Neural Networks.

IEEE transactions on neural networks and learning systems·2026
See all related articles
  1. Home
  3. Improving Text-based Person Retrieval By Excavating All-round Information Beyond Color.
  1. Home
  3. Improving Text-based Person Retrieval By Excavating All-round Information Beyond Color.

Related Experiment Video

Using Rapid Serial Visual Presentation to Measure Set-Specific Capture, a Consequence of Distraction While Multitasking
05:58

Using Rapid Serial Visual Presentation to Measure Set-Specific Capture, a Consequence of Distraction While Multitasking

Published on: August 29, 2018

8.9K

Improving Text-Based Person Retrieval by Excavating All-Round Information Beyond Color.

Aichun Zhu, Zijie Wang, Jingyi Xue

    IEEE Transactions on Neural Networks and Learning Systems
    |February 28, 2024

    View abstract on PubMed

    Summary
    This summary is machine-generated.

    This study introduces EAIBC, a new framework for text-based person retrieval that overcomes color over-reliance. EAIBC enhances image search by integrating RGB, grayscale, high-frequency, and color information for superior performance.

    More Related Videos

    Holistic Facial Composite Creation and Subsequent Video Line-up Eyewitness Identification Paradigm
    09:49

    Holistic Facial Composite Creation and Subsequent Video Line-up Eyewitness Identification Paradigm

    Published on: December 24, 2015

    14.1K
    Training Synesthetic Letter-color Associations by Reading in Color
    10:27

    Training Synesthetic Letter-color Associations by Reading in Color

    Published on: February 20, 2014

    22.9K

    Related Experiment Videos

    Using Rapid Serial Visual Presentation to Measure Set-Specific Capture, a Consequence of Distraction While Multitasking
    05:58

    Using Rapid Serial Visual Presentation to Measure Set-Specific Capture, a Consequence of Distraction While Multitasking

    Published on: August 29, 2018

    8.9K
    Holistic Facial Composite Creation and Subsequent Video Line-up Eyewitness Identification Paradigm
    09:49

    Holistic Facial Composite Creation and Subsequent Video Line-up Eyewitness Identification Paradigm

    Published on: December 24, 2015

    14.1K
    Training Synesthetic Letter-color Associations by Reading in Color
    10:27

    Training Synesthetic Letter-color Associations by Reading in Color

    Published on: February 20, 2014

    22.9K

    Area of Science:

    • Computer Vision
    • Machine Learning
    • Artificial Intelligence

    Background:

    • Text-based person retrieval relies on searching visual data using text queries.
    • Current methods often overemphasize color (CLR), neglecting crucial texture and structure cues, leading to suboptimal performance.
    • This over-reliance on color information limits the effectiveness of person retrieval systems.

    Purpose of the Study:

    • To propose a novel framework, EAIBC (Excavate All-round Information Beyond Color), to improve text-based person retrieval.
    • To address the limitations of color over-reliance in existing person retrieval approaches.
    • To enhance the extraction and utilization of diverse visual features beyond color.

    Main Methods:

    • The EAIBC framework incorporates four distinct branches: RGB, grayscale (GRS), high-frequency (HFQ), and CLR.
  • A mutual learning (ML) mechanism is introduced to enable effective communication and balanced information integration among the branches.
  • The framework is designed to leverage all-round visual information comprehensively.

    • Main Results:

    • EAIBC was evaluated on three benchmark datasets: CUHK-PEDES, ICFG-PEDES, and RSTPReid.
    • The proposed method demonstrated significant performance improvements over existing approaches.
    • EAIBC achieved state-of-the-art (SOTA) results across supervised, weakly supervised, and cross-domain retrieval settings.

    Conclusions:

    • The EAIBC framework effectively mitigates the problem of color over-reliance in text-based person retrieval.
    • By integrating multi-modal visual information through mutual learning, EAIBC achieves superior retrieval accuracy.
    • The proposed method represents a significant advancement in text-based person retrieval, offering robust performance across various scenarios.