Results 81 to 90 of about 9,095 (206)
Journal of Geophysical Research: Machine Learning and Computation, Volume 2, Issue 4, December 2025.Abstract Deep learning (DL) has shown great potential in solving groundwater problems but often requires large labeled data sets, which are expensive and time‐consuming to obtain. In this study, we introduce a self‐supervised learning approach based on a masked autoencoder (MAE)—an encoder‐decoder architecture that reconstructs randomly masked input ...
Kai Ji +4 more
wiley +1 more source
Superpixel Segmentation Using Gaussian Mixture Model [PDF]
IEEE Transactions on Image Processing, 2018 Superpixel segmentation algorithms are to partition an image into perceptually coherence atomic regions by assigning every pixel a superpixel label. Those algorithms have been wildly used as a preprocessing step in computer vision works, as they can enormously reduce the number of entries of subsequent algorithms.
Zhihua Ban, Jianguo Liu, Li Cao
openaire +4 more sources
Selective Multiple Classifiers for Weakly Supervised Semantic Segmentation
CAAI Transactions on Intelligence Technology, Volume 10, Issue 6, Page 1688-1702, December 2025.ABSTRACT Existing weakly supervised semantic segmentation (WSSS) methods based on image‐level labels always rely on class activation maps (CAMs), which measure the relationships between features and classifiers. However, CAMs only focus on the most discriminative regions of images, resulting in their poor coverage performance.
Zilin Guo +3 more
wiley +1 more source
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2019 Markov random field (MRF) based methods have been widely used in high spatial resolution (HSR) image classification. However, many existing MRF-based methods put more emphasis on pixel level contexts while less on superpixel level contextual information.
Yu Shen +3 more
doaj +1 more source
Compact Spectral Imaging: A Review of Miniaturized and Integrated Systems
Laser &Photonics Reviews, Volume 19, Issue 21, November 6, 2025.This review explores the rapid shift toward compact spectral imaging systems by examining four key design paradigms: Do‐It‐Yourself (DIY) platforms, freeform optics, filter‐on‐chip integration, and multifunctional metasurfaces. The discussion highlights critical applications in medicine, agriculture, and environmental monitoring, providing comparative ...
Sani Mukhtar, Amir Arbabi, Jaime Viegas
wiley +1 more source
Jurnal Elkomika, 2020 ABSTRAK Salah satu bagian dalam algoritma pemrosesan citra adalah proses segmentasi yang menjadi tahap pra-pemrosesan untuk ekstraksi fitur objek. Superpixel menjadi salah satu solusi pada proses segmentasi dengan mendefenisikan kumpulan piksel yang ...
MUHAMMAD KHAERUL NAIM MURSALIM +1 more
doaj +1 more source
Breaking (Light) Barriers: Photoacoustics in Atherosclerotic Diseases
Journal of Cellular and Molecular Medicine, Volume 29, Issue 21, November 2025.ABSTRACT Photoacoustic imaging (PAI) is an emerging imaging modality that provides high‐resolution, spatiotemporal insights into anatomical structures, functional parameters and molecular characteristics of tissues. By leveraging both endogenous absorbers, such as lipids and collagen, and exogenous contrast agents like nanoparticles and molecular dyes,
Kayleigh van Dijk, Margreet R. de Vries
wiley +1 more source
Advances and Trends in Terrain Classification Methods for Off‐Road Perception
Journal of Field Robotics, Volume 42, Issue 7, Page 3515-3544, October 2025.ABSTRACT Off‐road autonomous vehicles (OAVs) are becoming increasingly popular for navigating challenging environments in agriculture, military, and exploration applications. These vehicles face unique challenges, such as unpredictable terrain, dynamic obstacles, and varying environmental conditions.
Tanzila Arafin +5 more
wiley +1 more source
Interdisciplinary Medicine, Volume 3, Issue 5, September 2025.Integrating Surface‐Enhanced Raman Scattering (SERS) with machine learning creates a powerful platform for cancer management. This approach enhances diagnostic precision through non‐invasive molecular fingerprinting and enables real‐time therapeutic monitoring. By combining SERS with machine learning, it offers a comprehensive solution for early cancer
Heng‐Zhou He +9 more
wiley +1 more source
Improved Fast Generation of Superpixel Algorithms with Deep Network
Jisuanji kexue yu tansuo, 2020 Superpixels are the result of over-segmentation of the image and provide an intermediate representation of the image data. It plays an important role in the research of computer vision and other fields. However, the existing superpixel algorithms are non-
SHENG Jiachuan, WANG Jiayuan, LI Yuzhi, WANG Jun
doaj +1 more source