Results 101 to 110 of about 9,095 (206)

Deep Spherical Superpixels

Over the years, the use of superpixel segmentation has become very popular in various applications, serving as a preprocessing step to reduce data size by adapting to the content of the image, regardless of its semantic content. While the superpixel segmentation of standard planar images, captured with a 90° field of view, has been extensively studied,
Giraud, Rémi, Clément, Michaël
openaire   +2 more sources

Superpixel Technique Enabled Spatial Phase Modulation Equalization for Power-Efficient Vortex Beam Generation

IEEE Photonics Journal
Realizing a spatial phase modulation (SPM) from 0 to 2π is vital for achieving precise light field manipulation, when the phase-only spatial light modulator (SLM) is driven by the voltage. However, insufficient bias voltage degrades the quality of
Ruhao Zhao, Junpeng Zheng, Cong Zhang, Meng Xiang, Gai Zhou, Yi Xu, Yuwen Qin, Songnian Fu   +7 more
doaj   +1 more source

Unsupervised instance segmentation with superpixels

Pattern Recognition
Instance segmentation is essential for numerous computer vision applications, including robotics, human-computer interaction, and autonomous driving. Currently, popular models bring impressive performance in instance segmentation by training with a large number of human annotations, which are costly to collect.
openaire   +2 more sources

Operational earthquake-induced building damage assessment using CNN-based direct remote sensing change detection on superpixel level

International Journal of Applied Earth Observation and Geoinformation, 2022
Yuanzhao Qing, D. Ming, Q. Wen, Qihao Weng, Lu Xu, Yangyang Chen, Yi Zhang, Beichen Zeng   +7 more
semanticscholar   +1 more source

Scale-Adaptive Superpixels [PDF]

Color and Imaging Conference, 2018
Radhakrishna Achanta, Pablo Márquez-Neila, Pascal Fua, Sabine Süsstrunk   +3 more
openaire   +1 more source

Dual-Branch Superpixel and Class-Center Attention Network for Efficient Semantic Segmentation. [PDF]

Sensors (Basel)
Zhang Y, Yu H, Wang H, Zhou M, Zhang T, Chen YC.   +5 more
europepmc   +1 more source

Superpixel-based graph convolutional neural network for polarimetric synthetic aperture radar image classification. [PDF]

Sci Rep
Imani M.
europepmc   +1 more source

Multiscale CNN-state space model with feature fusion for crop disease detection from UAV imagery. [PDF]

Front Plant Sci
Zhang T, Wang D, Chen W.
europepmc   +1 more source

Intelligent Detection Method of Defects in High-Rise Building Facades Using Infrared Thermography. [PDF]

Sensors (Basel)
Liu D, Jin Y, Yang Y, Xiao Z, Zhao Z, Gao C, Zhang D.   +6 more
europepmc   +1 more source

Trainable superpixel segmentation

, 2018
Trainable Superpixel Segmentation is a plug-in developed for the ImageJ platform that aims at providing its users with the ability to train models to segment images by classifying superpixels using region-based image features. This project provides an underlying library that can be used independently, a graphic interface for ease of use and an ...
openaire   +1 more source