Trust Assessment Model for Visual Image-Based Human-Robot Interaction Under Known and Unknown Threats DOI
Heqing Li, Xinde Li,

Erfeng Liu

и другие.

Lecture notes in computer science, Год журнала: 2024, Номер unknown, С. 153 - 167

Опубликована: Дек. 24, 2024

Язык: Английский

VFL3D: A Single-Stage Fine-Grained Lightweight Point Cloud 3D Object Detection Algorithm Based on Voxels DOI
Bing Li, Jie Chen, Xinde Li

и другие.

IEEE Transactions on Intelligent Transportation Systems, Год журнала: 2024, Номер 25(9), С. 12034 - 12048

Опубликована: Март 29, 2024

In this work, we propose a voxel-based single-stage fine-grained and efficient point cloud 3D object detection algorithm to address the inadequate granularity in feature extraction tasks imbalance between efficiency accuracy scenarios. We develop lightweight multibranch cross-sparse convolution network (LMCCN) that is designed preserve of original while achieving enhanced efficiency. Additionally, introduce compact self-attention augmented bird's eye view (BEV) module (CFSAM). This aims further refine BEV features, enabling acquisition both locally globally features thereby augmentingthe perceptual capabilities constructed model. Without bells whistles, proposed method attains excellent performance on many autonomous driving benchmarks, with accuracies up 81.67% KITTI, 72.74% ONCE, 84.00% nuScenes. Moreover, it reaches peak speed 46.08 FPS, effectively balancing speed.

Язык: Английский

Процитировано

4
Automatic Evaluation of English Translation Based on Multi-granularity Interaction Fusion DOI Creative Commons

Xibo Chen,

H. J. Yang, Haize Hu

и другие.

Neural Processing Letters, Год журнала: 2025, Номер 57(1)

Опубликована: Фев. 7, 2025

The latest neural machine translation automatic evaluation method uses pre-trained context word vectors to extract semantic features and directly concatenates them into the network predict quality. However, direct operation can easily lead a lack of interaction between features, layer-by-layer prediction is prone losing fine-grained matching information. To address these issues, we propose multi-granularity interactive fusion English evaluation, which introduces middle late information methods. First, use bilinear attention distribution capture high-order cross language feature interactions. By stacking multiple blocks equipping with an index linear unit without parameters for in parameter-free manner. Second, accurate sentence shift distance sentence-level cosine similarity fusion. experimental results on WMT'21 Metrics Task benchmark dataset show that proposed effectively improve its correlation human achieve comparable performance best participating system.

Язык: Английский

Процитировано

0
A fault diagnosis method for elevator traction machine drum brakes based on co-correction with complementary labels DOI
Jiahao Ma, Kai Zhang,

Qing Zheng

и другие.

Measurement, Год журнала: 2025, Номер unknown, С. 117524 - 117524

Опубликована: Апрель 1, 2025

Язык: Английский

Процитировано

0
Extrapolating from one: A pseudo multi-view fusion approach for enhanced out-of-distribution detection in fault diagnosis DOI
Hairui Fang, Haoze Li, Liu Han

и другие.

Mechanical Systems and Signal Processing, Год журнала: 2025, Номер 231, С. 112661 - 112661

Опубликована: Апрель 8, 2025

Язык: Английский

Процитировано

0
Multi-scale adaptive-routing capsule contrastive network-based intelligent fault diagnosis method for rotating machinery under noisy environment and labels DOI

Yucheng Xiong,

Zhiwen Liu, Jiyong Tan

и другие.

Advanced Engineering Informatics, Год журнала: 2024, Номер 62, С. 102712 - 102712

Опубликована: Июль 20, 2024

Язык: Английский

Процитировано

2
Adaptive multi-granularity trust management scheme for UAV visual sensor security under adversarial attacks DOI
Heqing Li, Xinde Li, Fir Dunkin

и другие.

Computers & Security, Год журнала: 2024, Номер 148, С. 104108 - 104108

Опубликована: Сен. 12, 2024

Язык: Английский

Процитировано

1
Interpreting what typical fault signals look like via prototype-matching DOI
Qian Chen, Xingjian Dong, Zhike Peng

и другие.

Advanced Engineering Informatics, Год журнала: 2024, Номер 62, С. 102849 - 102849

Опубликована: Окт. 1, 2024

Язык: Английский

Процитировано

1
Smeta-LU: A self-supervised meta-learning fault diagnosis method for rotating machinery based on label updating DOI
Zhiqian Zhao, Yinghou Jiao, Yeyin Xu

и другие.

Advanced Engineering Informatics, Год журнала: 2024, Номер 62, С. 102875 - 102875

Опубликована: Окт. 1, 2024

Язык: Английский

Процитировано

1
Multi-Scale Adaptive-Routing Capsule Contrastive Network-Based Intelligent Fault Diagnosis Method for Rotating Machinery Under Noisy Environment and Labels DOI

Yucheng Xiong,

Z. Y.-C. Liu,

Liang Hao

и другие.

Опубликована: Янв. 1, 2024

Язык: Английский

Процитировано

0
Trust Assessment Model for Visual Image-Based Human-Robot Interaction Under Known and Unknown Threats DOI
Heqing Li, Xinde Li,

Erfeng Liu

и другие.

Lecture notes in computer science, Год журнала: 2024, Номер unknown, С. 153 - 167

Опубликована: Дек. 24, 2024

Язык: Английский

Процитировано

0