SG-FCN: A Motion and Memory-Based Deep Learning Model for Video Saliency Detection

21 September 2018

Papers citing "SG-FCN: A Motion and Memory-Based Deep Learning Model for Video Saliency Detection"

7 / 7 papers shown

Title
Audio-Visual Collaborative Representation Learning for Dynamic Saliency Prediction Hailong Ning Bin Zhao Zhanxuan Hu Lang He Ercheng Pei 32 10 0 17 Sep 2021
Visual Sensation and Perception Computational Models for Deep Learning: State of the art, Challenges and Prospects Bing Wei Yudi Zhao K. Hao Lei Gao 42 5 0 08 Sep 2021
Hierarchical Domain-Adapted Feature Learning for Video Saliency Prediction Giovanni Bellitto Federica Proietto Salanitri S. Palazzo Francesco Rundo Daniela Giordano C. Spampinato MDE 18 52 0 02 Oct 2020
Depthwise Non-local Module for Fast Salient Object Detection Using a Single Thread Haofeng Li Guanbin Li Binbin Yang Guanqi Chen Liang Lin Yizhou Yu ObjD 46 28 0 22 Jan 2020
Motion Guided Attention for Video Salient Object Detection Haofeng Li Guanqi Chen Guanbin Li Yizhou Yu 30 166 0 16 Sep 2019
Global and Local Sensitivity Guided Key Salient Object Re-augmentation for Video Saliency Detection Ziqi Zhou Zhilin Wang Huchuan Lu Song Wang Meijun Sun 25 12 0 19 Nov 2018
Bottom-up Attention, Models of Ali Borji Hamed R. Tavakoli Zoya Bylinskii 3DV 19 4 0 11 Oct 2018