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| Host name | revaccess.ha.univ-nantes.fr |
| IP address | 193.52.104.60 |
| Location | France |
| Latitude | 48.8582 |
| Longitude | 2.3387 |
| Timezone | Europe/Paris |
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We found Websites Listing below when search with salient360.ls2n.fr on Search Engine
Salient360! – Visual Attention Modeling for 360° Content
This platform extends the efforts carried out with the organization of the two Salient360! Grand Challenges at ICME’17 and ICME’18, providing a continuous benchmark of visual attention models for 360-degree content. This activity aims at supporting the research on understanding how users watch and explore 360° content and on modelling ...
Salient360.ls2n.frDA: 18 PA: 18 MOZ Rank: 19
Master degrees at the LS2N | Laboratoire des Sciences du …
The LS2N is attached to several master’s courses: : Master Informatique.Universiy of Nantes: Managers : Béatrice DAILLE and Philippe LERAY; Gerson SUNYE for M1 . ATAL (Apprentissage et Traitement Automatique de la Langue) ; Manager : Emmanuel MORIN; Location : ALMA (Architectures Logicielles) ; Manager : Hala SKAF-MOLLI ORO (Optimisation en Recherche …
Ls2n.frDA: 11 PA: 9 MOZ Rank: 21
Laboratoire des Sciences du Numérique de Nantes - LS2N
[3] P. Le Callet, E. David, M. Perreira Da Silva, P. Lebranchu. How are ocular behaviours affected by central and peripheral vision loss? A study based on …
Ls2n.frDA: 11 PA: 43 MOZ Rank: 56
【论文精读】SalBiNet360: Saliency Prediction on 360
Salient360!上一些案例的视觉对比如图10所示。与SalGAN360相比，SalBiNet360不仅可以精细预测图像赤道附近的显著性区域，还可以预测一些SalGAN360忽略的低显著性区域（如树木和地板）。此外，SalBiNet360还可以预测图像左右边界附近的显著性区域，从而减少了显著性密度分布中的信息损失。这与表4中 ...
Blog.csdn.netDA: 13 PA: 38 MOZ Rank: 54
Ls2n.fr Laboratoire des Sciences du Numérique de Nantes
Ls2n.fr belongs to Renater. Check the list of other websites hosted by Renater.. Ls2n.fr registered under .FR top-level domain. Check other websites in .FR zone.. The last verification results, performed on (February 06, 2022) ls2n.fr show that ls2n.fr has an expired wildcard SSL certificate issued by TERENA (expired on March 08, 2022).
Webrate.orgDA: 11 PA: 14 MOZ Rank: 29
Introducing UN Salient360! Benchmark: A platform for evaluating …
Introducing UN Salient360! Benchmark: A platform for evaluating visual attention models for 360° contents . Jesus Gutierrez 1 Erwan David 1 Antoine Coutrot 1 Matthieu Perreira da Silva 1 Patrick Le Callet 1, 2 Détails. 1 LS2N - Laboratoire des Sciences du Numérique de Nantes . 2 IPI - Image Perception Interaction . LS2N - Laboratoire des Sciences du Numérique de Nantes Type de …
Hal.archives-ouvertes.frDA: 24 PA: 13 MOZ Rank: 42
GitHub - zhangkao/IIP_Salient360_2017: IEEE ICME Salient360!
It is a re-implementation for the challenge and following paper: IEEE ICME Salient360! Grand Challenge: Visual attention modeling for 360 Content - 2017 edition. https://salient360.ls2n.fr. Jing Ling, Kao Zhang, Yingxue Zhang, Daiqin Yang, Zhenzhong Chen. A saliency prediction model on 360 degree images using color dictionary based sparse ...
Github.comDA: 10 PA: 29 MOZ Rank: 45
360度全景图显著性检测数据库_baidu_39501639的博客-CSDN博客
图像矩阵matlab代码格randint挑战赛：Salient360！简单的介绍 该代码适用于Salient360的巨大挑战！在ICME 2017上。代码中实现了两个计算模型，分别是： 基于头部运动的显着性模型（模型类型1）； 和 基于头部和眼睛运动的显着性模型（模型类型2）。
Blog.csdn.netDA: 13 PA: 40 MOZ Rank: 60
Toolbox and dataset for the development of saliency and …
Created for the ICME’17 Grand Challenge Salient360! (https://salient360.ls2n.fr/). • Saliency maps and scanpaths obtained from eye and head movements of observers. • Guidelines to obtain saliency maps and scanpaths from eye and head tracking data. • Toolbox containing scripts for comparing saliency maps and scanpaths. Abstract. Research on understanding how people …
Sciencedirect.comDA: 21 PA: 42 MOZ Rank: 71
Introducing UN Salient360! Benchmark: A platform for evaluating …
Introducing UN Salient360! Benchmark: A platform for evaluating visual attention models for 360° contents . Jesus Gutierrez 1 Erwan David 1 Antoine Coutrot 1 Matthieu Perreira da Silva 1 Patrick Le Callet 1, 2 Détails. 1 LS2N - Laboratoire des Sciences du Numérique de Nantes . 2 IPI - Image Perception Interaction . LS2N - Laboratoire des Sciences du Numérique de Nantes ...
Hal.archives-ouvertes.frDA: 24 PA: 15 MOZ Rank: 48
IIP_Salient360_2017/README.md at master · …
IEEE ICME Salient360! Grand Challenge 2017. Contribute to zhangkao/IIP_Salient360_2017 development by creating an account on GitHub.
Github.comDA: 10 PA: 50 MOZ Rank: 71
一些显著性检测的数据库资料_SH-ZZB的博客-CSDN博客
订阅专栏. 今天来写一些，我在学习过程中用过的一些显著性或是目标检测方面的一些资料：. 1.一些常用的显著性数据库. a. ASD数据库：这个数据库包含有1000张图（MSRA1000）这个数据库来自于 A two-stage approach to saliency detection inimages 该数据库的说明以及一些算法 ...
Blog.csdn.netDA: 13 PA: 33 MOZ Rank: 57
Toolbox and dataset for the development of saliency and …
The dataset and the toolbox are available for the research community, and the information to get access to it can be found in our website https://salient360.ls2n.fr/. Acknowledgments The work of Jesús Gutiérrez was supported by the People Programme (Marie Curie Actions) of the European Union‘s Seventh Framework Programme (FP7/2007–2013) …
Sciencedirect.comDA: 21 PA: 38 MOZ Rank: 71
Dataset · Issue #3 · V-Sense/salnet360 · GitHub
Please where can i find the dataset for this program
Github.comDA: 10 PA: 27 MOZ Rank: 50
IIP_Salient360_2018 | #Machine Learning | IEEE ICME Salient360!
Kandi X-RAY | IIP_Salient360_2018 REVIEW AND RATINGS. It is a implementation based on the following paper and the repo for the 2018 ICME Salient 360 challenge:. Support. IIP_Salient360_2018 has a low active ecosystem. It has 4 star(s) with 2 fork(s). It had no major release in the last 12 months. It has a neutral sentiment in the developer community. ...
Kandi.openweaver.comDA: 20 PA: 36 MOZ Rank: 70
SalBiNet360: Saliency Prediction on 360° Images with Local-Global ...
With the development of the virtual reality applications, predicting human visual attention on 360° images is valuable to content creators and encoding algorithms, and becomes essential to understand user behaviour. In this paper, we propose a local-global bifurcated deep network for saliency prediction on 360° images, which is named as SalBiNet360. In the global …
Ieeexplore.ieee.orgDA: 19 PA: 26 MOZ Rank: 60
LABORATOIRE LS2N (EX IRCCYN) - S2E2
(LS2N brings together the skills of the IRCCyN and LINA laboratories in cybernetics and computer science.It includes the activity of more than twenty research teams, it is structured into five areas of expertise: - Signals, Images, Ergonomics and Languages - Science of data and decision - Software Science and Distributed Systems - Systems Design and Management - Robotics, …
S2e2.frDA: 11 PA: 46 MOZ Rank: 73
personal_site - freesoft.dev
Saliency detection in 360-degree images. reference: All images displayed below are from ICME 2018 Grand Challenge Salient360! 2018: Visual attention modeling for 360 Images https://salient360.ls2n.fr/. Saliency detection qualitative result from our model:
Freesoft.devDA: 12 PA: 17 MOZ Rank: 46
InterDigital - Create. Connect. Live. Inspire.
The goal of this database is to help solve those questions and design good models. The dataset contains 60 images (360°), along with eye-tracking data provided as scan-path and saliency maps and collected from 48 different observers. The data has been produced by Technicolor and by the University of Nantes (LS2N laboratory) in 2017.
Interdigital.comDA: 20 PA: 30 MOZ Rank: 68
GitHub - ChengeLi/personal_site
Saliency detection in 360-degree images. reference: All images displayed below are from ICME 2018 Grand Challenge Salient360! 2018: Visual attention modeling for 360 Images https://salient360.ls2n.fr/. Saliency detection qualitative result from our model:
Github.comDA: 10 PA: 23 MOZ Rank: 52
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