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

Methods of Classification and Identification01:28

Methods of Classification and Identification

1.5K
Bacterial identification relies on a diverse array of techniques to classify and understand microorganisms, each tailored to uncover specific characteristics. Traditional morphological approaches, while still valuable, are limited for closely related or structurally simple organisms. Modern methods integrate biochemical, serological, genetic, and advanced molecular tools to achieve greater accuracy.Morphological and Biochemical TechniquesMorphological characteristics, such as cell shape and...
1.5K
Prosopagnosia01:24

Prosopagnosia

1.0K
Prosopagnosia, also known as face blindness, is the inability to recognize faces. In severe cases, individuals with prosopagnosia may not recognize close family members, including parents and spouses, by their faces. For instance, someone with prosopagnosia might walk past their child in a crowd, only realizing their mistake upon noticing their child's distinctive backpack or favorite jacket. Prosopagnosia specifically impairs facial recognition, while the recognition of other objects or...
1.0K
Force Classification01:22

Force Classification

2.6K
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,...
2.6K

You might also read

Related Articles

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

Sort by
Same author

XOV-Action: Towards Generalizable Open-Vocabulary Action Recognition.

IEEE transactions on pattern analysis and machine intelligence·2026
Same author

Decoupled Seg Tokens Make Stronger Reasoning Video Segmenter and Grounder.

IEEE transactions on pattern analysis and machine intelligence·2026
Same author

RGShuffleNet: An Efficient Design for Medical Image Segmentation on Portable Devices.

IEEE journal of biomedical and health informatics·2026
Same author

Double Nonconvex Tensor Robust Kernel Principal Component Analysis and Its Visual Applications.

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

Human Motion Prediction via Continual Prior Compensation.

IEEE transactions on pattern analysis and machine intelligence·2026
Same author

Dual-modality adaptation in vision-language models for continual learning.

Neural networks : the official journal of the International Neural Network Society·2025
Same journal

Relation DETR+: Exploring Explicit Position Relation Prior for Dense Prediction.

IEEE transactions on pattern analysis and machine intelligence·2026
Same journal

RBF++: Quantifying and Optimizing Reasoning Boundaries across Measurable and Unmeasurable Capabilities for Chain-of-Thought Reasoning.

IEEE transactions on pattern analysis and machine intelligence·2026
Same journal

CAFE: Cross-View Adaptive Fusion and Cluster Center Enhancement for Robust Multi-View Clustering.

IEEE transactions on pattern analysis and machine intelligence·2026
Same journal

DIVER: Reinforced Diffusion Breaks Imitation Bottlenecks in End-to-End Autonomous Driving.

IEEE transactions on pattern analysis and machine intelligence·2026
Same journal

Ethics-Aware Safe Reinforcement Learning for Rare-Event Risk Control in Interactive Urban Driving.

IEEE transactions on pattern analysis and machine intelligence·2026
Same journal

Learning Shape Anchors for Holistic Indoor Scene Understanding.

IEEE transactions on pattern analysis and machine intelligence·2026
See all related articles

Related Experiment Video

Updated: Mar 7, 2026

Photorealistic Learned Landscapes for Augmented Reality
06:54

Photorealistic Learned Landscapes for Augmented Reality

Published on: June 27, 2025

837

Person Re-Identification by Camera Correlation Aware Feature Augmentation.

Ying-Cong Chen, Xiatian Zhu, Wei-Shi Zheng

    IEEE Transactions on Pattern Analysis and Machine Intelligence
    |February 17, 2017
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces Camera coRrelation Aware Feature augmenTation (CRAFT), a novel framework for person re-identification (re-id). CRAFT enhances view-specific models by learning adaptive feature transformations, improving accuracy in challenging cross-view scenarios.

    More Related Videos

    Author Spotlight: Revolutionizing Remote Surgery with Augmented Reality and Robotics for Enhanced Precision and Accessibility
    07:46

    Author Spotlight: Revolutionizing Remote Surgery with Augmented Reality and Robotics for Enhanced Precision and Accessibility

    Published on: August 9, 2024

    1.2K
    Author Spotlight: Assessment of Visual Acuity in Central Vision Loss Through Motion-Based Peripheral Vision Testing
    06:25

    Author Spotlight: Assessment of Visual Acuity in Central Vision Loss Through Motion-Based Peripheral Vision Testing

    Published on: February 23, 2024

    1.2K

    Related Experiment Videos

    Last Updated: Mar 7, 2026

    Photorealistic Learned Landscapes for Augmented Reality
    06:54

    Photorealistic Learned Landscapes for Augmented Reality

    Published on: June 27, 2025

    837
    Author Spotlight: Revolutionizing Remote Surgery with Augmented Reality and Robotics for Enhanced Precision and Accessibility
    07:46

    Author Spotlight: Revolutionizing Remote Surgery with Augmented Reality and Robotics for Enhanced Precision and Accessibility

    Published on: August 9, 2024

    1.2K
    Author Spotlight: Assessment of Visual Acuity in Central Vision Loss Through Motion-Based Peripheral Vision Testing
    06:25

    Author Spotlight: Assessment of Visual Acuity in Central Vision Loss Through Motion-Based Peripheral Vision Testing

    Published on: February 23, 2024

    1.2K

    Area of Science:

    • Computer Vision
    • Machine Learning
    • Artificial Intelligence

    Background:

    • Person re-identification (re-id) faces challenges due to cross-view feature distortion.
    • Existing view-generic models struggle to quantify view-specific distortions effectively.
    • View-specific re-id approaches are under-studied but offer potential solutions.

    Purpose of the Study:

    • To introduce a novel view-specific person re-identification framework called CRAFT.
    • To address limitations of view-generic models in handling cross-view feature distortion.
    • To develop an adaptive feature augmentation method for improved re-id accuracy.

    Main Methods:

    • Formulated a view-specific person re-identification framework (CRAFT) using feature augmentation.
    • Automatically measured camera correlation from cross-view data distribution.
    • Adaptively conducted feature augmentation to transform features into a new adaptive space.
    • Developed a domain-generic deep person appearance representation for view invariance.

    Main Results:

    • CRAFT enables view-generic algorithms to learn view-specific sub-models while retaining view-generic discrimination.
    • The framework effectively models view-specific characteristics and inherits strengths of view-generic learning.
    • Demonstrated superiority over state-of-the-art methods on challenging person re-id datasets.

    Conclusions:

    • CRAFT provides an effective approach for view-specific person re-identification.
    • The framework can be extended to multi-camera re-id settings.
    • Proposed domain-generic representation facilitates cross-view adaptation.