URVOS: Unified Referring Video Object Segmentation Network with a Large-Scale Benchmark

By Seonguk Seo, Joon-Young Lee, Bohyung Han. European Conference on Computer Vision, 2020

311 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/cd0255491af35c5bc5f7cfa473718c19f67fcac3

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Vision and Pattern Recognition

1. Luc Van Gool
2. Wenguan Wang
3. Ping Luo
4. Ming-Hsuan Yang
5. Xiaogang Wang
6. Dacheng Tao
7. Cordelia Schmid
8. Ling Shao

Citations in the corpus

• A Survey on Deep Learning Technique for Video Segmentation (2021, background): “VOS [202] 2020ECCV 3,975 3,471/507/-/LVOS Generic -”
• Language as Queries for Referring Video Object Segmentation (2022, methodology): “In this section, we perform extensive ablation studies on Ref-Youtube-VOS to study the effect of core components in our model.”