Results 11 to 20 of about 387,938 (287)

Research on Multi-Ship Target Detection and Tracking Method Based on Camera in Complex Scenes

open access: yesJournal of Marine Science and Engineering, 2022
Aiming at the problem that multi-ship target detection and tracking based on cameras is difficult to meet the accuracy and speed requirements at the same time in some complex scenes, an improved YOLOv4 algorithm is proposed, which simplified the network ...
Xiaobin Hong   +4 more
doaj   +1 more source

Small insulator target detection based on multi‐feature fusion

open access: yesIET Image Processing, 2023
The proportion of insulators in aerial power patrol images is small and the background of overhead lines is complex, often leading to incomplete and inaccurate detection of insulators.
Minan Tang, Kai Liang, Jiandong Qiu
doaj   +1 more source

Generalized Autocorrelation Analysis for Multi-Target Detection

open access: yesICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022
arXiv admin note: text overlap with arXiv:2105 ...
Shalit, Ye'Ela   +4 more
openaire   +2 more sources

A Dataset for Multi-Target Stance Detection [PDF]

open access: yesProceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers, 2017
Current models for stance classification often treat each target independently, but in many applications, there exist natural dependencies among targets, e.g., stance towards two or more politicians in an election or towards several brands of the same product. In this paper, we focus on the problem of multi-target stance detection.
Sobhani, P., Inkpen, D., Zhu, X.
openaire   +2 more sources

Few‐shot object detection via class encoding and multi‐target decoding

open access: yesIET Cyber-systems and Robotics, 2023
The task of few‐shot object detection is to classify and locate objects through a few annotated samples. Although many studies have tried to solve this problem, the results are still not satisfactory.
Xueqiang Guo   +4 more
doaj   +1 more source

Parallel Ensemble Deep Learning for Real-Time Remote Sensing Video Multi-Target Detection

open access: yesRemote Sensing, 2021
Unmanned aerial vehicle (UAV) is one of the main means of information warfare, such as in battlefield cruises, reconnaissance, and military strikes.
Long Sun   +3 more
doaj   +1 more source

Emotionally Informed Hate Speech Detection: A Multi-target Perspective [PDF]

open access: yesCognitive Computation, 2021
AbstractHate Speech and harassment are widespread in online communication, due to users' freedom and anonymity and the lack of regulation provided by social media platforms. Hate speech is topically focused (misogyny, sexism, racism, xenophobia, homophobia, etc.), and each specific manifestation of hate speech targets different vulnerable groups based ...
Chiril, Patricia   +4 more
openaire   +4 more sources

Rapid and accurate detection of multi-target walnut appearance quality based on the lightweight improved YOLOv5s_AMM model

open access: yesFrontiers in Plant Science, 2023
IntroductionNut quality detection is of paramount importance in primary nut processing. When striving to maintain the imperatives of rapid, efficient, and accurate detection, the precision of identifying small-sized nuts can be substantially compromised ...
Zicheng Zhan   +7 more
doaj   +1 more source

Research on detection and tracking methods of unmanned ship water targets based on light vision [PDF]

open access: yesZhihui kongzhi yu fangzhen
This study explores technical methods based on light vision to address the problem of target detection and tracking by surface unmanned ships in complex environments.
LIU Yibo, QIU Xinyu, WANG Tianhao, GAOYAN Xiusong, WANG Yintao
doaj   +1 more source

Multi-Target Joint Detection

open access: yesSensors, 2020
This paper proposes a new solution to multi-target joint detection, tracking and classification based on labeled random finite set (RFS) and belief function theory. A class dependent multi-model marginal generalized labeled multi-Bernoulli (MGLMB) filter is developed to analytically calculate the multi-target number, state estimates and model ...
Liang, Jun   +3 more
openaire   +1 more source

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