Spatiotemporal Saliency Detection for Video Sequences Based on Random Walk With Restart

Author:

Kim Hansang,Kim Youngbae,Sim Jae-Young,Kim Chang-Su

Funder

Basic Science Research Program through the National Research Foundation of Korea (NRF) within the Ministry of Education

NRF within the Korea Government through the Ministry of Science, ICT and Future Planning

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Graphics and Computer-Aided Design,Software

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1. DBTSF-VSOD: a decision-based two-stage framework for video salient object detection;International Journal of Multimedia Information Retrieval;2024-09-03

2. Video Salient Object Detection Via Multi-level Spatiotemporal Bidirectional Network Using Multi-scale Transfer Learning;IETE Journal of Research;2024-08-05

3. Context Proposals for video saliency segmentation;2024 International Conference on Control, Automation and Diagnosis (ICCAD);2024-05-15

4. A spatiotemporal bidirectional network for video salient object detection using multiscale transfer learning;International Journal of Multimedia Information Retrieval;2024-05-07

5. A Novel Divide and Conquer Solution for Long-term Video Salient Object Detection;Machine Intelligence Research;2024-04-27

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