SalGCN-Reference-Cited by-同舟云学术

SalGCN

Published:2020-10-12 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 28th ACM International Conference on Multimedia
language:
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Author:

Lv Haoran¹,Yang Qin¹,Li Chenglin¹,Dai Wenrui¹,Zou Junni¹,Xiong Hongkai¹

Affiliation:

1. Shanghai Jiao Tong University, Shanghai, China

Funder

National Natural Science Foundation of China

Shanghai Rising-Star Program

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3394171.3413733

Reference25 articles.

1. Salgan360: Visual Saliency Prediction On 360 Degree Images With Generative Adversarial Networks

2. SphereNet: Learning Spherical Representations for Detection and Classification in Omnidirectional Images

3. Hongyang Gao and Shuiwang Ji. 2019. Graph u-nets. arXiv preprint arXiv:1905.05178 (2019). Hongyang Gao and Shuiwang Ji. 2019. Graph u-nets. arXiv preprint arXiv:1905.05178 (2019).

4. Toolbox and dataset for the development of saliency and scanpath models for omnidirectional/360° still images

5. SalNet: Edge Constraint Based End-to-End Model for Salient Object Detection

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2. SVGC-AVA: 360-Degree Video Saliency Prediction with Spherical Vector-Based Graph Convolution and Audio-Visual Attention;IEEE Transactions on Multimedia;2023

3. Viewing Bias Matters in 360^° Videos Visual Saliency Prediction;IEEE Access;2023

4. Intra- and Inter-Reasoning Graph Convolutional Network for Saliency Prediction on 360° Images;IEEE Transactions on Circuits and Systems for Video Technology;2022-12

5. SST-Sal: A spherical spatio-temporal approach for saliency prediction in 360∘ videos;Computers & Graphics;2022-08