Results 61 to 70 of about 1,822 (166)

Superpixel Sampling Networks [PDF]

, 2018
Superpixels provide an efficient low/mid-level representation of image data, which greatly reduces the number of image primitives for subsequent vision tasks. Existing superpixel algorithms are not differentiable, making them difficult to integrate into otherwise end-to-end trainable deep neural networks.
Jampani, Varun, Sun, Deqing, Liu, Ming-Yu, Yang, Ming-Hsuan, Kautz, Jan   +4 more
openaire   +2 more sources

Relieve the Demand for Labeled Data of Deep Learning Models for Hydraulic Conductivity Field Tasks in Groundwater Through Self‐Supervised Learning

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, Zhengkun Zhou, Bo Zou, Ruiting Yang, Baoqing Zhang   +4 more
wiley   +1 more source

The Outlining of Agricultural Plots Based on Spatiotemporal Consensus Segmentation

Remote Sensing, 2018
The outlining of agricultural land is an important task for obtaining primary information used to create agricultural policies, estimate subsidies and agricultural insurance, and update agricultural geographical databases, among others.
Angel Garcia-Pedrero, Consuelo Gonzalo-Martín, Mario Lillo-Saavedra, Dionisio Rodríguez-Esparragón   +3 more
doaj   +1 more source

A survey of recent interactive image segmentation methods

Computational Visual Media, 2020
Image segmentation is one of the most basic tasks in computer vision and remains an initial step of many applications. In this paper, we focus on interactive image segmentation (IIS), often referred to as foreground-background separation or object ...
Hiba Ramadan, Chaymae Lachqar, Hamid Tairi   +2 more
doaj   +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, Dongyue Wu, Changxin Gao, Nong Sang   +3 more
wiley   +1 more source

Edge Dependent Chinese Restaurant Process for Very High Resolution (VHR) Satellite Image Over-Segmentation

Remote Sensing, 2018
Image over-segmentation aims to partition an image into spatially adjacent and spectrally homogeneous regions. It could reduce the complexity of image representation and enhance the efficiency of subsequent image processing.
Hong Tang, Xuejun Zhai, Wei Huang
doaj   +1 more source

Diffraction order‐engineered polarization‐dependent silicon nano‐antennas metagrating for compact subtissue Mueller microscopy

Nanophotonics, Volume 14, Issue 27, Page 5277-5289, December 2025.
Abstract A polarization‐dependent silicon nano‐antennas metagrating (PSNM) is proposed for parallel polarization transformation by engineering diffraction orders, upon which a compact Mueller microscopy system is implemented for subtissue‐level polarization extraction.
Qingyuan Li, Jianyao Li, Gaodi Chen, Zhiguang Lin, Dongmei Lu, Xiaoxu Deng   +5 more
wiley   +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

Incorporating Superpixel Context for Extracting Building From High-Resolution Remote Sensing Imagery

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Extracting building from high-resolution (HR) remote sensing imagery (RSI) serves a variety of areas, such as smart city, environment management, and emergency disaster services.
Fang Fang, Kang Zheng, Shengwen Li, Rui Xu, Qingyi Hao, Yuting Feng, Shunping Zhou   +6 more
doaj   +1 more source