Fully and Weakly Supervised Referring Expression Segmentation With End-to-End Learning
Author:
Affiliation:
1. School of Advanced Technology, Xi’an Jiaotong-Liverpool University, Suzhou, China
2. School of Computer Science and Technology, Soochow University, Suzhou, China
3. Institute of Information Science, Beijing Jiaotong University, Beijing, China
Funder
National Key Research and Development Program of China
National Natural Science Foundation of China
Key Program Special Fund in Xi’an Jiaotong-Liverpool University
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Media Technology
Link
http://xplorestaging.ieee.org/ielx7/76/10269772/10089870.pdf?arnumber=10089870
Reference73 articles.
1. Cross-Modal Self-Attention Network for Referring Image Segmentation
2. Normalized Cut Loss for Weakly-Supervised CNN Segmentation
3. Referring Image Segmentation via Recurrent Refinement Networks
4. Intrinsic Manifold SLIC: A Simple and Efficient Method for Computing Content-Sensitive Superpixels
5. Bi-Directional Relationship Inferring Network for Referring Image Segmentation
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