Results 71 to 80 of about 3,488 (207)

Superpixel Transformers for Efficient Semantic Segmentation

2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2023
Semantic segmentation, which aims to classify every pixel in an image, is a key task in machine perception, with many applications across robotics and autonomous driving. Due to the high dimensionality of this task, most existing approaches use local operations, such as convolutions, to generate per-pixel features.
Alex Zihao Zhu, Jieru Mei, Siyuan Qiao, Hang Yan 0002, Yukun Zhu, Liang-Chieh Chen, Henrik Kretzschmar   +6 more
openaire   +2 more sources

Design and Optimization of Full‐Stokes Hyperspectro‐Polarimetric Encoding Metasurfaces Based on Conditional Multi‐Task Deep Learning

Advanced Science, Volume 13, Issue 24, 27 April 2026.
A conditional multi‐task deep learning framework is developed for designing and optimizing Full‐Stokes Hyperspectro‐Polarimetric Encoding Metasurfaces (FHPEMs). This framework achieves joint spectro‐polarimetric learning and unified forward–inverse design.
Chenjie Gong, Haodong Shi, Qi Wang, Yingchao Li, Hongyu Sun, Jiayu Wang, Guanlin Li, Jian Zhang, Qiang Fu, Huilin Jiang   +9 more
wiley   +1 more source

Interpretable Machine Learning: A Comprehensive Review of Foundations, Methods, and the Path Forward

WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 1, March 2026.
This systematic review of 352 studies establishes a comprehensive taxonomy for Interpretable Machine Learning, transitioning from foundational intrinsic models to advanced deep learning explanations. It reveals a critical paradigm shift toward “mechanistic interpretability” and actionable recourse, emphasizing that future AI systems must be rigorously ...
Shimon Fridkin, Michael Bendersky
wiley   +1 more source

Mixture-Based Superpixel Segmentation and Classification of SAR Images

, 2016
We propose a mixture-based superpixel segmentation method for synthetic aperture radar (SAR) images. The method uses SAR image amplitudes and pixel coordinates as features.
Kayabol, Koray, Arisoy, Sertac
core   +1 more source

A Random Walker Algorithm for Plate Boundary Detection in Spherical Mantle Convection Models and Global Geophysical Data Sets: Application to Euler Vector Determination

Journal of Geophysical Research: Solid Earth, Volume 131, Issue 3, March 2026.
Abstract As spherical shell mantle convection models become increasingly commonplace, understanding how plates are generated has raised the issue of how to recognize whether rigid plates are present in model output. Tectonocists have long recognized that intraplate regions are not rigid without exception.
P. Javaheri, J. P. Lowman
wiley   +1 more source

PFS: Particle-Filter-Based Superpixel Segmentation

, 2018
In this paper, we propose a particle-filter-based superpixel (PFS) segmentation method that extends the original tracking problem as a region clustering problem.
Keyun Qin, Bing Luo, Zheng Pei, Li Xu
core   +1 more source

Evaluating UAV Multispectral Imagery, Machine Learning and Image Analysis Techniques for Mapping Taro and Sweet Potato in a Smallholder Cropland in Swayimane, South Africa

Geo: Geography and Environment, Volume 13, Issue 1, January‐June 2026.
Short Abstract This study evaluates the effectiveness of UAV multispectral imagery combined with machine learning techniques for mapping neglected and underutilised crop species (NUS), specifically taro and sweet potato in smallholder farming systems in South Africa.
Mishkah Abrahams, Mbulisi Sibanda, Timothy Dube, James Magidi, Richard Kunz, Vimbayi G. P. Chimonyo, Alistair D. Clulow, Tafadzwanashe Mabhaudhi   +7 more
wiley   +1 more source

Stereoscopic Saliency Detection for Rail Surface Defects via Global Low‐Rank Reconstruction and Depth Outlier Fusion

Electronics Letters, Volume 62, Issue 1, January/December 2026.
This letter presents an unsupervised stereoscopic saliency detection method for rail surface defects that integrates global low‐rank reconstruction with depth outlier analysis. A binocular line‐scanning system simultaneously acquires RGB images and depth maps, with a Global Low‐Rank Nonnegative Reconstruction (GLRNNR) algorithm extracting 2D saliency ...
Zhiwen Xiong, Yuanchun Li
wiley   +1 more source

An unsupervised semantic segmentation method that combines the ImSE-Net model with SLICm superpixel optimization

International Journal of Digital Earth
In the field of remote sensing, using a large amount of labeled image data to supervise the training of fully convolutional networks for the semantic segmentation of images is expensive.
Zenan Yang, Haipeng Niu, Xiaoxuan Wang, Liang Huang, Kui Yang   +4 more
doaj   +1 more source

Robust Active Contour Model for Image Segmentation Using a Probability Density Function Approach

IET Image Processing, Volume 20, Issue 1, January/December 2026.
This paper proposes an active contour model‐based image segmentation algorithm using the probability density function. Initially, the probability density function is defined by the local mean and variance. Next, a length penalty term and a distance regularization term are incorporated.
XinChao Meng, Si Si, Pei Zhang
wiley   +1 more source