STA-Net: spatial-temporal attention network for video salient object detection
- 13 November 2020
- journal article
- research article
- Published by Springer Science and Business Media LLC in Applied Intelligence
- Vol. 51 (6), 3450-3459
- https://doi.org/10.1007/s10489-020-01961-4
Abstract
No abstract availableKeywords
This publication has 40 references indexed in Scilit:
- Consistent Video Saliency Using Local Gradient Flow Optimization and Global RefinementIEEE Transactions on Image Processing, 2015
- Graph Construction for Salient Object Detection in VideosPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2014
- Time-Mapping Using Space-Time SaliencyPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2014
- Superpixel-Based Spatiotemporal Saliency DetectionIEEE Transactions on Circuits and Systems for Video Technology, 2014
- Video Segmentation by Tracking Many Figure-Ground SegmentsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2013
- Saliency-Aware Video CompressionIEEE Transactions on Image Processing, 2013
- Geodesic Saliency Using Background PriorsLecture Notes in Computer Science, 2012
- Segmenting Salient Objects from Images and VideosLecture Notes in Computer Science, 2010
- Efficient Scale-Space Spatiotemporal Saliency Tracking for Distortion-Free Video RetargetingLecture Notes in Computer Science, 2010
- A feature-integration theory of attentionCognitive Psychology, 1980