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

Associative Learning01:27

Associative Learning

Associative learning is a fundamental concept in behavioral psychology, wherein a connection is established between two stimuli or events, leading to a learned response. This process is critical in understanding how behaviors are acquired and modified. Conditioning, the mechanism through which associations are formed, can be divided into two main types: classical conditioning and operant conditioning, each elucidating different aspects of associative learning.
Classical conditioning, also known...
Observational Learning01:12

Observational Learning

Albert Bandura's observational learning, also known as imitation or modeling, occurs when a person observes and imitates another's behavior. It is a quicker process than operant conditioning. A well-known example is the Bobo doll study, where children who saw an adult acting aggressively towards the doll were more likely to act aggressively when left alone, compared to those who observed a nonaggressive adult. Many psychologists view observational learning as a form of latent learning because...
Propagation of Action Potentials01:23

Propagation of Action Potentials

The propagation of an action potential refers to the process by which a nerve impulse, or "action potential," travels along a neuron.
Neurons (nerve cells) have a resting membrane potential, with a slightly negative charge inside compared to outside. This is maintained by ion channels, such as sodium (Na+) and potassium (K+) channels, which control the flow of ions. When a stimulus, like a touch or a signal from another neuron, triggers the neuron, sodium channels open, allowing sodium ions to...

You might also read

Related Articles

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

Sort by
Same author

Titanium dioxide nanoparticles relieve biochemical dysfunctions of fifth-instar larvae of silkworms following exposure to phoxim insecticide.

Chemosphere·2012
Same author

Mechanisms of prostate atrophy after LHRH antagonist cetrorelix injection: an experimental study in a rat model of benign prostatic hyperplasia.

Journal of Huazhong University of Science and Technology. Medical sciences = Hua zhong ke ji da xue xue bao. Yi xue Ying De wen ban = Huazhong keji daxue xuebao. Yixue Yingdewen ban·2012
Same author

Simulation and experimental investigation of structural dynamic frequency characteristics control.

Sensors (Basel, Switzerland)·2012
Same author

Chronic clomipramine treatment restores hippocampal expression of glial cell line-derived neurotrophic factor in a rat model of depression.

Journal of affective disorders·2012
Same author

Application of nanoLC-MS/MS to the shotgun proteomic analysis of the nematocyst proteins from jellyfish Stomolophus meleagris.

Journal of chromatography. B, Analytical technologies in the biomedical and life sciences·2012
Same author

Identification of Sare0718 as an alanine-activating adenylation domain in marine actinomycete Salinispora arenicola CNS-205.

PloS one·2012
Same journal

Hyperbolic Cycle Alignment for Infrared-Visible Image Fusion.

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

Learning Gaze Synthesizer via 3D-eye Controlled Diffusion and Cross-domain Feature Alignment.

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

Underlying Semantic Diffusion for Effective and Efficient In-Context Learning.

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

DiffRES: Unleashing Text-to-Image Diffusion Models for Generative Referring Expression Segmentation without Information Leakage.

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

Location Matters: Frequency-Spatial Dual Space Adaptation for Cross-Domain Few-Shot Segmentation.

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

BayeTopo: Bayesian-based Topology-guided Learning for Vascular Imaging Segmentation.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
See all related articles

Related Experiment Videos

Weakly Supervised Temporal Action Localization With Proposal-Level Action Consistency Learning.

Maodong Li, Zhihao Wang, Tian Wang

    IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
    |June 2, 2026
    PubMed
    Summary
    This summary is machine-generated.

    ACL-Net improves weakly supervised temporal action localization by calibrating proposal scores. It enhances reliability and accuracy by learning semantic and process consistency, reducing the gap between classification and localization.

    Related Experiment Videos

    Area of Science:

    • Computer Vision
    • Machine Learning
    • Artificial Intelligence

    Background:

    • Existing weakly supervised temporal action localization (WTAL) methods suffer from training-inference discrepancies, leading to unreliable proposal scores.
    • Current methods often exhibit score-quality misalignment, widening the classification-localization gap in action localization tasks.

    Purpose of the Study:

    • To propose ACL-Net, a novel framework for proposal score calibration to address score-quality misalignment in WTAL.
    • To enhance the reliability and accuracy of temporal action localization by improving proposal score quality.

    Main Methods:

    • Introduced a dual-axis Proposal-level Action Consistency Learning (PACL) paradigm.
    • Developed a Semantic Consistency Module (SCM) with a Classification Enhancement Module (CEM) to refine proposal representations and denoise class centers.
    • Implemented a Process Consistency Module (PCM) to derive geometry-aware reference scores from temporal relations of proposals.

    Main Results:

    • ACL-Net achieved state-of-the-art performance on THUMOS14 and ActivityNet1.3 datasets.
    • Demonstrated uniform and substantial gains across multiple established baselines.
    • Significantly lowered the expected calibration error (ECE), indicating improved score-quality alignment.

    Conclusions:

    • ACL-Net effectively calibrates proposal scores by jointly modeling semantic and process consistency.
    • The proposed framework markedly improves localization accuracy and reduces the classification-localization gap in WTAL.
    • ACL-Net offers a reliable and accurate solution for weakly supervised temporal action localization.