S$^3$Net: Self-supervised Self-ensembling Network for Semi-supervised RGB-D Salient Object Detection-Reference-Cited by-同舟云学术

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S$^3$Net: Self-supervised Self-ensembling Network for Semi-supervised RGB-D Salient Object Detection

Published:2021 Issue: Volume: Page:1-1
ISSN:1520-9210
Container-title:IEEE Transactions on Multimedia
language:
Short-container-title:IEEE Trans. Multimedia

Author:

Zhu Lei,Wang Xiaoqiang,Li Ping,Yang Xin,Zhang Qing,Wang Weiming,Schonlieb Carola-Bibiane,Chen C.L. Philip

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Media Technology,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/6046/4456689/09623466.pdf?arnumber=9623466

Cited by 9 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Progressive expansion for semi-supervised bi-modal salient object detection;Pattern Recognition;2025-01

2. Semi-supervised RGB-D Hand Gesture Recognition via Mutual Learning of Self-supervised Models;ACM Transactions on Multimedia Computing, Communications, and Applications;2024-08-23

3. Depth-Assisted Semi-Supervised RGB-D Rail Surface Defect Inspection;IEEE Transactions on Intelligent Transportation Systems;2024-07

4. UniTR: A Unified TRansformer-Based Framework for Co-Object and Multi-Modal Saliency Detection;IEEE Transactions on Multimedia;2024

5. Semi-supervised Learning with Easy Labeled Data via Impartial Labeled Set Extension;Proceedings of the 1st International Workshop on Multimedia Content Generation and Evaluation: New Methods and Practice;2023-10-29

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