Results 11 to 20 of about 61,033 (257)

Biomimetic Incremental Domain Generalization with a Graph Network for Surgical Scene Understanding [PDF]

Biomimetics, 2022
Surgical scene understanding is a key barrier for situation-aware robotic surgeries and the associated surgical training. With the presence of domain shifts and the inclusion of new instruments and tissues, learning domain generalization (DG) plays a ...
Lalithkumar Seenivasan, Mobarakol Islam, Chi-Fai Ng, Chwee Ming Lim, Hongliang Ren   +4 more
doaj   +4 more sources

Understanding Scene Understanding [PDF]

Frontiers in Psychology, 2013
WHAT DOES IT MEAN TO “UNDERSTAND” A SCENE? Look very briefly at the picture on the next page (Figure 1); what do you see? Decades of research has shown that it is possible to extract the gist of a scene very quickly (Potter, 1975; Friedman, 1979); even from the briefest of glances you could probably classify this scene as some sort of race.
Gregory eZelinsky
doaj   +5 more sources

Basic Level Scene Understanding: Categories, Attributes and Structures [PDF]

Frontiers in Psychology, 2013
A longstanding goal of computer vision is to build a system that can automatically understand a 3D scene from a single image. This requires extracting semantic concepts and 3D information from 2D images which can depict an enormous variety of ...
Jianxiong eXiao, James eHays, Bryan C. Russell, Genevieve ePatterson, Krista eEhinger, Antonio eTorralba, Aude eOliva   +6 more
doaj   +4 more sources

Scene Complexity: A New Perspective on Understanding the Scene Semantics of Remote Sensing and Designing Image-Adaptive Convolutional Neural Networks

Remote Sensing, 2021
Scene understanding of remote sensing images is of great significance in various applications. Its fundamental problem is how to construct representative features.
Jian Peng, Xiaoming Mei, Wenbo Li, Liang Hong, Bingyu Sun, Haifeng Li   +5 more
doaj   +3 more sources

Perceiving like a Bat: Hierarchical 3D Geometric–Semantic Scene Understanding Inspired by a Biomimetic Mechanism [PDF]

Biomimetics, 2023
Geometric–semantic scene understanding is a spatial intelligence capability that is essential for robots to perceive and navigate the world. However, understanding a natural scene remains challenging for robots because of restricted sensors and time ...
Chi Zhang, Zhong Yang, Bayang Xue, Haoze Zhuo, Luwei Liao, Xin Yang, Zekun Zhu   +6 more
doaj   +2 more sources

Time-Interval-Guided Event Representation for Scene Understanding [PDF]

Sensors
The recovery of scenes under extreme lighting conditions is pivotal for effective image analysis and feature detection. Traditional cameras face challenges with low dynamic range and limited spectral response in such scenarios. In this paper, we advocate
Boxuan Wang, Wenjun Yang, Kunqi Wu, Rui Yang, Jiayue Xie, Huixiang Liu   +5 more
doaj   +2 more sources

Scene as Occupancy and Reconstruction: A Comprehensive Dataset for Unstructured Scene Understanding [PDF]

Scientific Data
As autonomous driving technology steps into the phase of large-scale commercialization, safety and comfort have become key indicators for measuring its performance.
Long Chen, Ruiqi Song, Hangbin Wu, Baiyong Ding, Lingxi Li, Fei-Yue Wang   +5 more
doaj   +2 more sources

A Survey on Deep Learning-Driven Remote Sensing Image Scene Understanding: Scene Classification, Scene Retrieval and Scene-Guided Object Detection

Applied Sciences, 2019
As a fundamental and important task in remote sensing, remote sensing image scene understanding (RSISU) has attracted tremendous research interest in recent years.
Yating Gu, Yantian Wang, Yansheng Li
doaj   +3 more sources

A Web Application for Watermark Recognition [PDF]

Journal of Data Mining and Digital Humanities, 2020
The study of watermarks is a key step for archivists and historians as it enables them to reveal the origin of paper. Although highly practical, automatic watermark recognition comes with many difficultiesand is still considered an unsolved challenge ...
Oumayma Bounou, Tom Monnier, Ilaria Pastrolin, Xi Shen, Marie-Françoise Limon-Bonnet, François Bougard, Mathieu Aubry, Marc H. Smith, Olivier Poncet, Pierre-Guillaume Raverdy, Christine Bénévent   +10 more
doaj   +1 more source

A Refined-Line-Based Method to Estimate Vanishing Points for Vision-Based Autonomous Vehicles

Vehicles, 2022
Helping vehicles estimate vanishing points (VPs) in traffic environments has considerable value in the field of autonomous driving. It has multiple unaddressed issues such as refining extracted lines and removing spurious VP candidates, which suffers ...
Shengyao Shen, Shanshan Wang, Luping Wang, Hui Wei   +3 more
doaj   +1 more source