To optimize visual search, humans attend to objects with the expected size of the sought target relative to its surrounding scene (object-scene scale consistency). We investigate how the human brain responds to variations in object-scene scale consistency. We use functional magnetic resonance imaging and a voxel-wise feature encoding model to estimate tuning to different object/scene properties. We find that regions involved in scene processing (transverse occipital sulcus) and spatial attention (intraparietal sulcus) have the strongest responsiveness and selectivity to object-scene scale consistency: reduced activity to mis-scaled objects (either unusually smaller or larger). The findings show how and where the brain incorporates object-scene size relationships in the processing of scenes. The response properties of these brain areas might explain why during visual search humans often miss objects that are salient but at atypical sizes relative to the surrounding scene.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8219818PMC
http://dx.doi.org/10.1038/s42003-021-02294-9DOI Listing

Publication Analysis

Top Keywords

object-scene scale
12
scale consistency
12
transverse occipital
8
occipital sulcus
8
intraparietal sulcus
8
selectivity object-scene
8
object-scene size
8
size relationships
8
visual search
8
search humans
8

Similar Publications

Two-Step Image Registration for Dual-Layer Flat-Panel Detectors.

Diagnostics (Basel)

December 2024

Department of Electronics Engineering, Hankuk University of Foreign Studies, Gyeonggi-do, Yongin-si 17035, Republic of Korea.

Background: For a single exposure in radiography, a dual-layer flat-panel detector (DFD) can provide spectral images and efficiently utilize the transmitted X-ray photons to improve the detective quantum efficiency (DQE) performance. In this paper, to acquire high DQE performance, we present a registration method for X-ray images acquired from a DFD, considering only spatial translations and scale factors. The conventional registration methods have inconsistent estimate accuracies depending on the captured object scene, even when using entire pixels, and have deteriorated frequency performance because of the interpolation method employed.

View Article and Find Full Text PDF

FocusDet: an efficient object detector for small object.

Sci Rep

May 2024

College of Information and Control Engineering, Jilin Institute of Chemical Technology, Jilin, 132000, China.

Article Synopsis
  • The paper addresses the challenges of detecting small objects in complex backgrounds, highlighting that conventional object detectors struggle with this task.
  • It introduces a new small object detection model called FocusDet, which includes three main components: a backbone for feature extraction (STCF-EANet), a feature fusion module (Bottom Focus-PAN), and a detection head for identifying and localizing objects.
  • Experimental results show significant improvements in detection performance, with mean Average Precision (mAP) increases of 13.1% on the VisDrone dataset and 6.2% on the CCTSDB2021 dataset, demonstrating FocusDet's efficacy in small object detection.
View Article and Find Full Text PDF

Effect of Alzheimer's Pathology on Task-Related Brain Network Reconfiguration in Aging.

J Neurosci

September 2023

Molecular Biophysics and Integrated Bioimaging, Lawrence Berkeley National Laboratory, Berkeley, California 94720.

Large-scale brain networks undergo widespread changes with older age and in neurodegenerative diseases such as Alzheimer's disease (AD). Research in young adults (YA) suggest that the underlying functional architecture of brain networks remains relatively consistent between rest and task states. However, it remains unclear whether the same is true in aging and to what extent any changes may be related to accumulation of AD pathology such as β-amyloid (Aβ) and tau.

View Article and Find Full Text PDF

ObScene database: Semantic congruency norms for 898 pairs of object-scene pictures.

Behav Res Methods

April 2024

Research Center for Psychological Science, Faculdade de Psicologia, Universidade de Lisboa, Alameda da Universidade, 1649-013, Lisboa, Portugal.

Research on the interaction between object and scene processing has a long history in the fields of perception and visual memory. Most databases have established norms for pictures where the object is embedded in the scene. In this study, we provide a diverse and controlled stimulus set comprising real-world pictures of 375 objects (e.

View Article and Find Full Text PDF

Geospatial object segmentation, a fundamental Earth vision task, always suffers from scale variation, the larger intra-class variance of background, and foreground-background imbalance in high spatial resolution (HSR) remote sensing imagery. Generic semantic segmentation methods mainly focus on the scale variation in natural scenarios. However, the other two problems are insufficiently considered in large area Earth observation scenarios.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!