Results 121 to 130 of about 10,859 (240)

Fine-Grained Fish Individual Recognition in Underwater Environments Using Global Detail Enhancement and Keypoint Region Fusion

Fishes
With the rapid advancement of intelligent aquaculture, precise individual identification of underwater fish has become a crucial method for achieving smart farming.
Yidan Zhao, Ming Chen, Guofu Feng, Wanying Zhai, Peng Xiao, Yongxiang Huang   +5 more
doaj   +1 more source

A Multimodal Haptic Feedback Interface with Thin‐Film Compliant Mechanism

Advanced Science, Volume 13, Issue 49, 3 September 2026.
Multimodal haptic devices can trigger different mechanoreceptors, enabling richer haptic information. This study presents an electromagnetic multimodal haptic device capable of delivering indentation, stretch, and vibration stimuli. The device is enabled by a novel polymer thin‐film compliant mechanism that provides high translational compliance along ...
Jingjing Wan, Emanuele Nicotra, James Davies, Kefan Zhu, Quang Anh Nguyen, Sinuo Zhao, Chi Cong Nguyen, Bibhu Sharma, Adrienne Ji, Hermione Truong, Patrick Pruscino, Tan Huynh, Phuoc Thien Phan, Hoang‐Phuong Phan, Nigel Hamilton Lovell, Thanh Nho Do   +15 more
wiley   +1 more source

COMPREHENSIVE SPATIAL-GEOMETRIC EVALUATION OF KEYPOINT DETECTORS

Електроніка та інформаційні технології
Background. Local features are essential components of modern computer vision systems, such as SLAM and 3D reconstruction. Traditional evaluation protocols for keypoint detection mainly focus on geometric accuracy and repeatability, often neglecting the ...
Andriy Fesiuk, Yuriy Furgala
doaj   +1 more source

SNAKE: Shape-aware Neural 3D Keypoint Field

, 2022
Detecting 3D keypoints from point clouds is important for shape reconstruction, while this work investigates the dual question: can shape reconstruction benefit 3D keypoint detection?
Sun, Fuchun, Zhong, Chengliang, Chen, Xiaoxue, Mu, Xiaodong, You, Peixing, Gan, Chuang, Zhou, Guyue, Zhao, Hao, Huang, Wenbing   +8 more
core  

A Novel Activation Function for Enhancing Deep Neural Network Stability and Performance

Concurrency and Computation: Practice and Experience, Volume 38, Issue 18, September 2026.
ABSTRACT Activation functions play an important role in the performance of deep learning models by enabling them to learn complex and nonlinear relationships. However, widely used activation functions, such as ReLU, ELU, Swish, and GELU, have certain limitations.
Özcan Küçükali, M. Hakan Bozkurt, Esma Ulutaş, Işılay Bozkurt   +3 more
wiley   +1 more source

Validation of a handheld smartphone markerless gait‐analysis tool using an estimated groundline in horses

Equine Veterinary Journal, Volume 58, Issue 5, Page 1493-1504, September 2026.
Abstract Background A handheld smartphone‐based computer vision algorithm (RealHorse® [RH]) offers accessible alternatives for equine gait analysis but requires validation against a gold‐standard three‐dimensional multicamera optical motion capture system (Qualisys® [QS]).
Karsten Key, Jakob Kirkegaard, Katja Berg, Kristian Ringkjær Andresen, Sabrina Skov Hansen   +4 more
wiley   +1 more source

Deep Learning‐Based Automated Bowel Wall Thickness Measurement in Intestinal Ultrasound for Inflammatory Bowel Disease

JCC Plus, Volume 1, Issue 5, September 2026.
ABSTRACT Background and Aims Intestinal ultrasound (IUS) is used to monitor inflammatory bowel disease (IBD), but bowel wall thickness (BWT) measurements are operator dependent and hard to standardize. The aim was to develop a system for identifying the bowel wall and measuring BWT, while accounting for interobserver disagreement.
Jakob Hestbjerg Karrer, Jonatan Ruiz‐Molsgaard, Bjørn Leth Møller, Johan Burisch, Gorm Roager Madsen, Klaus Theede, Johan Fremberg Ilvemark, Bobby Zhao Sheng Lo, Bulat Ibragimov, Trine Boysen   +9 more
wiley   +1 more source

Incremental Object Keypoint Learning

2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Existing progress in object keypoint estimation primarily benefits from the conventional supervised learning paradigm based on numerous data labeled with pre-defined keypoints. However, these well-trained models can hardly detect the undefined new keypoints in test time, which largely hinders their feasibility for diverse downstream tasks.
Mingfu Liang, Jiahuan Zhou, Xu Zou 0002, Ying Wu 0001   +3 more
openaire   +2 more sources

Monitoring Cattle Ruminating Behavior Based on an Improved Keypoint Detection Model

Animals
Cattle rumination behavior is strongly correlated with its health. Current methods often rely on manual observation or wearable devices to monitor ruminating behavior.
Jinxing Li, Yanhong Liu, Wenxin Zheng, Xinwen Chen, Yabin Ma, Leifeng Guo   +5 more
doaj   +1 more source

A Systematic Review and Taxonomy of Fall Detection in Geriatric Care: Current State, Challenges, and Applications

WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 3, September 2026.
Overview of fall‐detection approaches and technologies in geriatric care. ABSTRACT This systematic review provides a critical examination of fall detection (FD) technologies in geriatric care, analyzing both technological innovations and implementation challenges across diverse healthcare environments.
Hamid Ali, Ji Zhang, Xiaohui Tao, Raj Gururajan, Xujuan Zhou, Yuquan Gan, Josh Jia‐Ching Ying   +6 more
wiley   +1 more source