Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Difference from Background: Limit of Detection

Difference from Background: Limit of Detection

The limit of detection (LOD) is the smallest amount of analyte that can be distinguished from the background noise. The LOD value corresponds to the concentration at which the analyte signal is three times larger than the standard deviation of the blank signal. Below this value, the analyte signal cannot be differentiated from the background noise. It is calculated by dividing the calibration slope by 3 times the standard deviation of the blank signals.
The LOD indicates the presence or absence...

Depth Perception and Spatial Vision

Depth Perception and Spatial Vision

Depth perception is the ability to perceive objects three-dimensionally. It relies on two types of cues: binocular and monocular. Binocular cues depend on the combination of images from both eyes and how the eyes work together. Since the eyes are in slightly different positions, each eye captures a slightly different image. This disparity between images, known as binocular disparity, helps the brain interpret depth. When the brain compares these images, it determines the distance to an object.

Focusing of Light in the Eye

Focusing of Light in the Eye

Light rays enter the eye through the cornea, a transparent dome-shaped tissue that is the eye's outermost layer. The cornea bends or refracts, light rays traveling to the pupil. The shape of the cornea determines how much of the light is bent and whether the image will be focused correctly on the retina at the back of the eye. Once the light has passed through both refraction layers, it converges into a single focal point onto a small area. This is where photoreceptors start transforming...

You might also read

Related Articles

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

Sort by

Same author

Uranyl-Bridged Polyoxometalate Assembled from Te-Oriented Three-Layered Cage Clusters for Photocatalytic Oxy-Thiocyanation of Alkenes.

Inorganic chemistry·2026

Same author

AWM-Fuse: Multi-Modality Image Fusion for Adverse Weather via Global and Local Text Perception.

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

Same author

Soft Supervision Guided Spatial-Temporal Refinement Network For Video-based Visible-Infrared Person Re-Identification.

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

Same author

A Load-Balancing-Aware Learning Framework for Collaborative UAV-MEC Computation Offloading.

Sensors (Basel, Switzerland)·2026

Same author

U-Net and YOLOv8 Artificial Intelligence Models for Automated Recognition of Internal Jugular Veins and Radial Arteries: A Foundational Study for Artificial Intelligence-guided Vascular Cannulation inPoint-of-care Ultrasound.

Journal of cardiothoracic and vascular anesthesia·2026

Same author

Bidirectional Cross-Modal Collaborative Alignment via Semantic-Guided Visual Embeddings for Partially Relevant Video Retrieval.

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

Search research articles

Related Experiment Video

Updated: Jan 17, 2026

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

Seeing Clearly and Detecting Precisely: Perceptual Enhancement and Focus Calibration for Small-Object Detection.

Zhiqin Zhu, Yang Yang, Guanqiu Qi

IEEE Transactions on Neural Networks and Learning Systems

|January 14, 2026

Summary

This summary is machine-generated.

PEFC-Net enhances small object detection by improving clarity and accuracy. This novel framework uses hybrid structural perception and axis-aligned focus calibration to overcome challenges in dense, low-resolution scenarios.

More Related Videos

Medical-grade Sterilizable Target for Fluid-immersed Fetoscope Optical Distortion Calibration

Medical-grade Sterilizable Target for Fluid-immersed Fetoscope Optical Distortion Calibration

Published on: February 23, 2017

Gaze in Action: Head-mounted Eye Tracking of Children's Dynamic Visual Attention During Naturalistic Behavior

Gaze in Action: Head-mounted Eye Tracking of Children's Dynamic Visual Attention During Naturalistic Behavior

Published on: November 14, 2018

Related Experiment Videos

Last Updated: Jan 17, 2026

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

Medical-grade Sterilizable Target for Fluid-immersed Fetoscope Optical Distortion Calibration

Medical-grade Sterilizable Target for Fluid-immersed Fetoscope Optical Distortion Calibration

Published on: February 23, 2017

Gaze in Action: Head-mounted Eye Tracking of Children's Dynamic Visual Attention During Naturalistic Behavior

Gaze in Action: Head-mounted Eye Tracking of Children's Dynamic Visual Attention During Naturalistic Behavior

Published on: November 14, 2018

Area of Science:

Computer Vision
Artificial Intelligence
Machine Learning

Background:

Small object detection is difficult due to limited pixel data, unclear boundaries, and weak semantic information.
Existing methods struggle with preserving fine details and precise localization, especially in cluttered or low-resolution environments.

Purpose of the Study:

To introduce PEFC-Net, a novel framework designed to enhance both perceptual clarity and localization accuracy for small object detection.
To address the loss of fine-grained features during downsampling and the lack of region-aware focus mechanisms in current approaches.

Main Methods:

Developed the hybrid structural perception (HSP) module, utilizing wavelet decomposition and edge-aware refinement to encode spatial gradients and frequency components.
Designed the axis-aligned focus calibration (AAFC) module, incorporating axis-sensitive pooling and shape-aware calibration for improved region-level focus and long-range contextual understanding.

Main Results:

PEFC-Net demonstrated consistent outperformance over state-of-the-art methods across four challenging benchmarks: VisDrone-2019, TT100K, NWPU VHR-10, and DIOR.
The framework showed robust performance in scenarios with occlusion, dense object distribution, and significant scale variation.

Conclusions:

PEFC-Net effectively mitigates structural degradation and enhances region-aware focus for small object detection.
The proposed method offers a significant advancement in accurately detecting small objects under challenging real-world conditions.