Results 41 to 50 of about 57,569 (167)

Federated unsupervised semantic segmentation

Neurocomputing
This work explores the application of Federated Learning (FL) to Unsupervised Semantic image Segmentation (USS). Recent USS methods extract pixel-level features using frozen visual foundation models and refine them through self-supervised objectives that encourage semantic grouping.
Charalambakis, Evangelos, Mygdalis, Vasileios, Pitas, Ioannis   +2 more
openaire   +3 more sources

OntoSeg - Segmentation of Large Volumetric Datasets Using Semantic Knowledge

, 2023
6572The segmentation of a volumetric dataset, as they are commonly generated in computed tomography, into disjoint semantically understandable parts poses an ongoing problem.
Wittenberg, Thomas, Gerth, Stefan, Uhlmann, Norman, Sauer, Tomas, Lang, Thomas   +4 more
core   +1 more source

Explainable multi-module semantic guided attention based network for medical image segmentation

, 2022
Automated segmentation of medical images is crucial for disease diagnosis and treatment planning. Medical image segmentation has been improved based on the convolutional neural networks (CNNs) models. Unfortunately, they are still limited by scenarios in
Karri, Meghana, Acharya, U. Rajendra, Annavarapu, Chandra Sekhara Rao   +2 more
core   +1 more source

Exploiting Retentive Networks in 3D LiDAR Semantic Segmentation [PDF]

, 2023
openThe advent of LiDAR technology has revolutionized the fields of autonomous driving, robotics, and environmental monitoring by providing precise 3D point cloud data.
MOSCO, SIMONE
core  

Semantic Segmentation in Art Paintings

, 2022
Semantic segmentation is a difficult task even when trained in a supervised manner on photographs. In this paper, we tackle the problem of semantic segmentation of artistic paintings, an even more challenging task because of a much larger diversity in ...
Shamir, Ariel, Cohen, Nadav, Newman, Yael   +2 more
core   +1 more source

Nonparametric semantic segmentation for 3D street scenes

, 2013
In this paper we propose a method to generate a large scale and accurate dense 3D semantic map of street scenes. A dense 3D semantic model of the environment can significantly improve a number of robotic applications such as autonomous driving ...
Upcroft, Ben, Ben Upcroft, Hu He, He, Hu
core   +1 more source

Video semantic content analysis framework based on ontology combined MPEG-7 [PDF]

, 2007
The rapid increase in the available amount of video data is creating a growing demand for efficient methods for understanding and managing it at the semantic level.
Songyang Lao, Weiming Zhang, Bai, Liang, Smeaton, Alan F., Gareth J. F. Jones, Jones, Gareth J.F., Alan F. Smeaton, Lao, Songyang, Zhang, Weiming, Liang Bai   +9 more
core   +1 more source

Patch-based semantic labelling of images.

, 2010
PhDThe work presented in this thesis is focused at associating a semantics to the content of an image, linking the content to high level semantic categories. The process can take place at two levels: either at image level, towards image categorisation,
Passino, Giuseppe
core  

Coherent segmentation of video into syntactic regions [PDF]

, 2005
In this paper we report on our work in realising an approach to video shot matching which involves automatically segmenting video into abstract intertwinded shapes in such a way that there is temporal coherency.
O'Connor, Noel E., Smyth, Oliver, Le Borgne, Hervé, de Burca, Seán, Smeaton, Alan F., Adamek, Tomasz, O\u27Connor, Noel E.   +6 more
core  

Point Cloud Semantic Segmentation

CoRR, 2023
7 pages, 2 figures, 8 tables Language ...
openaire   +2 more sources