Results 141 to 150 of about 11,426 (251)
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 +3 more
openaire +2 more sources
Deep representation learning for keypoint localization [PDF]
, 2017 University of Technology Sydney. Faculty of Engineering and Information Technology.Keypoint localization aims to locate points of interest from the input image.
Huang, Shaoli
core
Deep Learning‐Based Quantification of Spontaneous Pain Behaviours in Mice
European Journal of Pain, Volume 30, Issue 9, October 2026.ABSTRACT Background Accurate evaluation of pain‐related behaviours in rodent models is crucial for elucidating pain mechanisms and assessing the efficacy of novel analgesic compounds. Traditional nociceptive assays primarily measure evoked responses, which have limited translational relevance since spontaneous pain is the predominant symptom in pain ...
Michele Zanoletti +9 more
wiley +1 more source
Affine Steerers for Structured Keypoint Description
To be presented at ECCV ...
Georg Bökman +3 more
openaire +4 more sources
Engineering Reports, Volume 8, Issue 10, October 2026.This study proposes a multimodal feature fusion‐based action recognition and trajectory prediction framework to quantitatively evaluate the effectiveness of compensatory exercises in accelerating shuttlecock skill acquisition. The system comprehensively employs TrackNet, Faster R‐CNN, and HRNet to extract shuttlecock trajectories, player positions, and
Chao Zhang, Fei Zeng
wiley +1 more source
SIFT keypoint descriptors for range image analysis
, 2007 This paper presents work in progress to extend the two-dimensional (2D) Scale Invariant Feature Transform (SIFT) into the 2.5 dimensional (2.5D) domain. Feature descriptors are extracted from range images of human faces and the form of these descriptors ...
Siebert, J. +3 more
core
Improving Artistic Design With KFDeformNet: Single-Frame Three-Dimensional Cartoon Face Recovery
IEEE AccessWe propose KFDeformNet, a novel framework for enhancing 3D cartoon face recovery from single-frame inputs. Existing methods struggle to capture the fine details and exaggerated characteristics common in artistic cartoon designs.
Tong Sun, Xiaohui Wang, Yichen Qi
doaj +1 more source
Journal of Ultrasound in Medicine, Volume 45, Issue 10, Page 2329-2343, October 2026.Objectives Ultrasonography is increasingly the preferred method for infant hip screening to enable timely diagnosis and treatment of developmental dysplasia of the hip (DDH). However, its reliance on experienced specialists and bulky equipment limits its application in routine screening, particularly in resource‐limited and remote settings. We aimed to
Dandan Zhang +9 more
wiley +1 more source
A 3D‐Based Method for Flood Depth Estimation From Social Media Images
Water Resources Research, Volume 62, Issue 10, October 2026.Abstract Flood depth estimation from social media images provides timely and cost‐effective observations, offering significant potential for flood monitoring and emergency response. Existing image‐based methods typically rely on humans, vehicles, or traffic signs as scale references, however, such objects are frequently absent in real flood scenes and ...
Miao Shen, Feng Zhang, Yongguo Shi
wiley +1 more source
RGB-D Dataset of Metal Connecting Rods for Instance Segmentation and Keypoint Localization
RGB-D Dataset of Metal Connecting Rods for Instance Segmentation and Keypoint ...
Yang, Zewen
core +1 more source