Results 11 to 20 of about 572,802 (294)
Scale-Equivariant UNet for Histopathology Image Segmentation [PDF]
GEOmedia, 2023 Digital histopathology slides are scanned and viewed under different magnifications and stored as images at different resolutions. Convolutional Neural Networks (CNNs) trained on such images at a given scale fail to generalise to those at different ...
Yi-Lun Yang +2 more
semanticscholar +1 more source
Colour Morphological Scale-Spaces for Image Segmentation [PDF]
Procedings of the British Machine Vision Conference 2005, 2005 Morphological scale-spaces have become an important tool for analysing greyscale images. However, their extension to colour images has proven elusive until recently. In this paper an original evaluation of two recently proposed colour sieves is presented, both algorithmically and in terms of their computational and segmentation performance.
David Gimenez, Adrian N. Evans
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Multi-scale and Cross-scale Contrastive Learning for Semantic Segmentation [PDF]
European Conference on Computer Vision, 2022 This work considers supervised contrastive learning for semantic segmentation. We apply contrastive learning to enhance the discriminative power of the multi-scale features extracted by semantic segmentation networks. Our key methodological insight is to
Theodoros Pissas +3 more
semanticscholar +1 more source
IET Image Processing, 2023 Iris segmentation is a critical step in the iris recognition system. Since the quality of iris database taken under different camera sensors varies greatly, thus most existing iris segmentation methods are designed for a particular collection device ...
Guang Huo, Dawei Lin, Meng Yuan
doaj +1 more source
FPS-Net: A Convolutional Fusion Network for Large-Scale LiDAR Point Cloud Segmentation [PDF]
Isprs Journal of Photogrammetry and Remote Sensing, 2021 Scene understanding based on LiDAR point cloud is an essential task for autonomous cars to drive safely, which often employs spherical projection to map 3D point cloud into multi-channel 2D images for semantic segmentation.
Aoran Xiao +4 more
semanticscholar +1 more source
Scale Space Operators on Hierarchies of Segmentations [PDF]
, 2013 A hierarchy of segmentations(partitions) is a multiscale set representation of the image. This paper introduces a new set of scale space operators or transformations on the space of hierarchies of partitions. An ordering of hierarchies is proposed which is endowed by an ω-ordering based on a global energy over the classes of the hierarchy.
Kiran, Bangalore Ravi, Serra, Jean
openaire +2 more sources
FarSee-Net: Real-Time Semantic Segmentation by Efficient Multi-scale Context Aggregation and Feature Space Super-resolution [PDF]
IEEE International Conference on Robotics and Automation, 2020 Real-time semantic segmentation is desirable in many robotic applications with limited computation resources. One challenge of semantic segmentation is to deal with the object scale variations and leverage the context.
Zhanpeng Zhang, Kaipeng Zhang
semanticscholar +1 more source
SLViT: Scale-Wise Language-Guided Vision Transformer for Referring Image Segmentation
International Joint Conference on Artificial Intelligence, 2023 Referring image segmentation aims to segment an object out of an image via a specific language expression. The main concept is establishing global visual-linguistic relationships to locate the object and identify boundaries using details of the image ...
Shuyi Ouyang +6 more
semanticscholar +1 more source
MVP-Net: Multiple View Pointwise Semantic Segmentation of Large-Scale Point Clouds [PDF]
Journal of WSCG, 2022 Semantic segmentation of 3D point cloud is an essential task for autonomous driving environment perception. The pipeline of most pointwise point cloud semantic segmentation methods includes points sampling, neighbor searching, feature aggregation, and ...
Chuanyu Luo +5 more
semanticscholar +1 more source
A NEW FRAMEWORK FOR OBJECT-BASED IMAGE ANALYSIS BASED ON SEGMENTATION SCALE SPACE AND RANDOM FOREST CLASSIFIER [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2015 In this paper a new object-based framework is developed for automate scale selection in image segmentation. The quality of image objects have an important impact on further analyses.
A. Hadavand +2 more
doaj +1 more source