Results 81 to 90 of about 1,105,657 (336)

Aerial Data Exploration: An in-Depth Study From Horizontal to Oriented Viewpoint

IEEE Access
The development of technological devices, such as satellites and drones, has made it easier to collect images and videos from the air. From these vast data sources, the problem of detecting objects in aerial images is formed to serve situations: rescue ...
Nguyen D. Vo, Huong-Giang Ngo, Toan Le, Quang Nguyen, Danh-Du Doan, Binh Nguyen, Do Le-Huu, Nguyen Le-Duy, Huy Tran, Khanh-Duy Nguyen, Khang Nguyen   +10 more
doaj   +1 more source

Object detection model of coal mine rescue robot based on multi -scale feature fusio

Gong-kuang zidonghua, 2020
Traditional object detection model uses artificial object features, resulting in poor detection accuracy. Object detection model based on deep learning has high detection accuracy.
ZHAI Guodong, REN Cong, WANG Shuai, YUE Zhongwen, PAN Tao, JI Rujia   +5 more
doaj   +1 more source

Review on One-Stage Object Detection Based on Deep Learning

EAI Endorsed Transactions on e-Learning, 2022
As a popular research direction in computer vision, deep learning technology has promoted breakthroughs in the field of object detection. In recent years, the combination of object detection and the Internet of Things (IoT) has been widely used in the ...
Hang Zhang, Rayan S Cloutier
doaj   +1 more source

UA-DETRAC: A New Benchmark and Protocol for Multi-Object Detection and Tracking

, 2020
In recent years, numerous effective multi-object tracking (MOT) methods are developed because of the wide range of applications. Existing performance evaluations of MOT methods usually separate the object tracking step from the object detection step by ...
Cai, Zhaowei, Chang, Ming-Ching, Du, Dawei, Lei, Zhen, Lim, Jongwoo, Lyu, Siwei, Qi, Honggang, Wen, Longyin, Yang, Ming-Hsuan   +8 more
core   +1 more source

The epithelial barrier theory proposes a comprehensive explanation for the origins of allergic and other chronic noncommunicable diseases

FEBS Letters, EarlyView.
Exposure to common noxious agents (1), including allergens, pollutants, and micro‐nanoplastics, can cause epithelial barrier damage (2) in our body's protective linings. This may trigger an immune response to our microbiome (3). The epithelial barrier theory explains how this process can lead to chronic noncommunicable diseases (4) affecting organs ...
Can Zeyneloglu, Huseyn Babayev, Ismail Ogulur, Sena Ardicli, Yagiz Pat, Duygu Yazici, Bingjie Zhao, Lihong Chang, Xiaoqing Liu, Paolo D'Avino, Manru Li, Ceren Biçer, Fatma Hacer Kurtoğlu Babayev, Raja Dhir, Kari C. Nadeau, Marie‐Charlotte Brüggen, Mubeccel Akdis, Cezmi A. Akdis   +17 more
wiley   +1 more source

A Review of Video Object Detection: Datasets, Metrics and Methods

Applied Sciences, 2020
Although there are well established object detection methods based on static images, their application to video data on a frame by frame basis faces two shortcomings: (i) lack of computational efficiency due to redundancy across image frames or by not ...
Haidi Zhu, Haoran Wei, Baoqing Li, Xiaobing Yuan, Nasser Kehtarnavaz   +4 more
doaj   +1 more source

Soft-NMS -- Improving Object Detection With One Line of Code

, 2017
Non-maximum suppression is an integral part of the object detection pipeline. First, it sorts all detection boxes on the basis of their scores. The detection box M with the maximum score is selected and all other detection boxes with a significant ...
Bodla, Navaneeth, Chellappa, Rama, Davis, Larry S., Singh, Bharat   +3 more
core   +1 more source

Situational object boundary detection [PDF]

2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015
Intuitively, the appearance of true object boundaries varies from image to image. Hence the usual monolithic approach of training a single boundary predictor and applying it to all images regardless of their content is bound to be suboptimal. In this paper we therefore propose situational object boundary detection: We first define a variety of ...
Jasper Uijlings, Vittorio Ferrari
openaire   +3 more sources

Continual Detection Transformer for Incremental Object Detection

2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023
Incremental object detection (IOD) aims to train an object detector in phases, each with annotations for new object categories. As other incremental settings, IOD is subject to catastrophic forgetting, which is often addressed by techniques such as knowledge distillation (KD) and exemplar replay (ER).
Liu, Y., Schiele, B. ; https://orcid.org/0000-0001-9683-5237, Vedaldi, A., Rupprecht, C.   +3 more
openaire   +3 more sources

From omics to AI—mapping the pathogenic pathways in type 2 diabetes

FEBS Letters, EarlyView.
Integrating multi‐omics data with AI‐based modelling (unsupervised and supervised machine learning) identify optimal patient clusters, informing AI‐driven accurate risk stratification. Digital twins simulate individual trajectories in real time, guiding precision medicine by matching patients to targeted therapies.
Siobhán O'Sullivan, Lu Qi, Pierre Zalloua   +2 more
wiley   +1 more source