Results 71 to 80 of about 8,796 (251)
CoKe: Localized Contrastive Learning for Robust Keypoint Detection [PDF]
, 2022 In this paper, we introduce a contrastive learning framework for keypoint detection (CoKe). Keypoint detection differs from other visual tasks where contrastive learning has been applied because the input is a set of images in which multiple keypoints ...
Bai, Yutong +3 more
core +1 more source
Improving Keypoint Orientation Assignment [PDF]
Procedings of the British Machine Vision Conference 2011, 2011 Detection and description of local image features has proven to be a powerful paradigm for a variety of applications in computer vision. Often, this process includes an orientation assignment step to render the overall process invariant to in-plane rotation. In this paper, we review several different existing algorithms and propose two novel, efficient
Steffen Gauglitz +2 more
openaire +1 more source
Automatic Determination of Quasicrystalline Patterns from Microscopy Images
Advanced Intelligent Discovery, EarlyView.This work introduces a user‐friendly machine learning tool to automatically extract and visualize quasicrystalline tiling patterns from atomically resolved microscopy images. It uses feature clustering, nearest‐neighbor analysis, and support vector machines. The method is broadly applicable to various quasicrystalline systems and is released as part of
Tano Kim Kender +2 more
wiley +1 more source
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
Neural Outlier Rejection For Self-Supervised Keypoint Learning [PDF]
, 2020 Identifying salient points in images is a crucial component for visual odometry, Structure-from-Motion or SLAM algorithms. Recently, several learned keypoint methods have demonstrated compelling performance on challenging benchmarks.
Tang, Jiexiong, +4 more
core
Training for Task Specific Keypoint Detection [PDF]
, 2009 In this paper, we show that a better performance can be achieved by training a keypoint detector to only find those points that are suitable to the needs of the given task.
Fua, Pascal +7 more
core +1 more source
Deep Image Segmentation for Breast Keypoint Detection [PDF]
, 2020 The main aim of breast cancer conservative treatment is the optimisation of the aesthetic outcome and, implicitly, women’s quality of life, without jeopardising local cancer control and overall survival.
Jaime S. Cardoso +3 more
core +1 more source
Journal of Innovation Information Technology and ApplicationScale-invariant feature transform (SIFT) is widely used as an image local feature extraction method because of its invariance to rotation, scale, and illumination change. SIFT has been implemented in different program libraries.
Arif Rahman +4 more
doaj +1 more source
Weakly Supervised Keypoint Discovery
CoRR, 2021 In this paper, we propose a method for keypoint discovery from a 2D image using image-level supervision. Recent works on unsupervised keypoint discovery reliably discover keypoints of aligned instances. However, when the target instances have high viewpoint or appearance variation, the discovered keypoints do not match the semantic correspondences over
Ryou, Serim, Perona, Pietro
openaire +2 more sources
Advanced Intelligent Discovery, EarlyView.This article implements a unified human digital twin framework that integrates cutting edge actuation, sensing, simulation, and bidirectional feedback capability. The approach includes integrating multimodal sensing, AI, and biomechanical simulation into one compact system.
Tajbeed Ahmed Chowdhury +4 more
wiley +1 more source