Results 71 to 80 of about 1,221,513 (328)
Robust 3D Scene Segmentation through Hierarchical and Learnable Part-Fusion [PDF]
arXiv, 2021 3D semantic segmentation is a fundamental building block for several scene understanding applications such as autonomous driving, robotics and AR/VR. Several state-of-the-art semantic segmentation models suffer from the part misclassification problem, wherein parts of the same object are labelled incorrectly. Previous methods have utilized hierarchical,
arxiv
UVid-Net: Enhanced Semantic Segmentation of UAV Aerial Videos by Embedding Temporal Information
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 Semantic segmentation of aerial videos has been extensively used for decision making in monitoring environmental changes, urban planning, and disaster management. The reliability of these decision support systems is dependent on the accuracy of the video
S. Girisha +3 more
doaj +1 more source
MaskLab: Instance Segmentation by Refining Object Detection with Semantic and Direction Features
, 2017 In this work, we tackle the problem of instance segmentation, the task of simultaneously solving object detection and semantic segmentation. Towards this goal, we present a model, called MaskLab, which produces three outputs: box detection, semantic ...
Adam, Hartwig +5 more
core +1 more source
ERN: Edge Loss Reinforced Semantic Segmentation Network for Remote Sensing Images
Remote Sensing, 2018 The semantic segmentation of remote sensing images faces two major challenges: high inter-class similarity and interference from ubiquitous shadows. In order to address these issues, we develop a novel edge loss reinforced semantic segmentation network ...
Shuo Liu +5 more
doaj +1 more source
Joint Optical Flow and Temporally Consistent Semantic Segmentation
, 2016 The importance and demands of visual scene understanding have been steadily increasing along with the active development of autonomous systems. Consequently, there has been a large amount of research dedicated to semantic segmentation and dense motion ...
A Kundu +16 more
core +1 more source
Semantic Segmentation by Semantic Proportions [PDF]
arXiv, 2023 Semantic segmentation is a critical task in computer vision aiming to identify and classify individual pixels in an image, with numerous applications in for example autonomous driving and medical image analysis. However, semantic segmentation can be highly challenging particularly due to the need for large amounts of annotated data.
arxiv
SensorsSuper-resolution semantic segmentation (SRSS) is a technique that aims to obtain high-resolution semantic segmentation results based on resolution-reduced input images.
Ruijun Shu, Shengjie Zhao
doaj +1 more source
A SEMANTIC 3D POINT CLOUD SEGMENTATION APPROACH BASED ON OPTIMAL VIEW SELECTION FOR 2D IMAGE FEATURE EXTRACTION [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019 3D semantic segmentation is the joint task of partitioning a point cloud into semantically consistent 3D regions and assigning them to a semantic class/label. While the traditional approaches for 3D semantic segmentation typically rely only on structural
A. Adam +4 more
doaj +1 more source
Multi‐similarity based hyperrelation network for few‐shot segmentation
IET Image Processing, 2023 Few‐shot semantic segmentation aims at recognizing the object regions of unseen categories with only a few annotated examples as supervision. The key to few‐shot segmentation is to establish a robust semantic relationship between the support and query ...
Xiangwen Shi +5 more
doaj +1 more source
SGPN: Similarity Group Proposal Network for 3D Point Cloud Instance Segmentation
, 2019 We introduce Similarity Group Proposal Network (SGPN), a simple and intuitive deep learning framework for 3D object instance segmentation on point clouds.
Huang, Qiangui +3 more
core +1 more source