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Strike the Balance: On-the-Fly Uncertainty based User Interactions for
  Long-Term Video Object Segmentation

Strike the Balance: On-the-Fly Uncertainty based User Interactions for Long-Term Video Object Segmentation

31 July 2024
Stéphane Vujasinović
Kamil Dreczkowski
Sebastian Bullinger
Norbert Scherer-Negenborn
Michael Arens
    VOS
ArXivPDFHTML

Papers citing "Strike the Balance: On-the-Fly Uncertainty based User Interactions for Long-Term Video Object Segmentation"

5 / 5 papers shown
Title
UncertainSAM: Fast and Efficient Uncertainty Quantification of the Segment Anything Model
UncertainSAM: Fast and Efficient Uncertainty Quantification of the Segment Anything Model
Timo Kaiser
Thomas Norrenbrock
Bodo Rosenhahn
53
0
0
08 May 2025
Hierarchical Memory Matching Network for Video Object Segmentation
Hierarchical Memory Matching Network for Video Object Segmentation
Hongje Seong
Seoung Wug Oh
Joon-Young Lee
Seongwon Lee
Suhyeon Lee
Euntai Kim
VOS
53
103
0
23 Sep 2021
Guided Interactive Video Object Segmentation Using Reliability-Based
  Attention Maps
Guided Interactive Video Object Segmentation Using Reliability-Based Attention Maps
Yuk Heo
Y. Koh
Chang-Su Kim
VOS
45
27
0
21 Apr 2021
Collaborative Video Object Segmentation by Multi-Scale
  Foreground-Background Integration
Collaborative Video Object Segmentation by Multi-Scale Foreground-Background Integration
Zongxin Yang
Yunchao Wei
Yi Yang
VOS
50
163
0
13 Oct 2020
Deep High-Resolution Representation Learning for Visual Recognition
Deep High-Resolution Representation Learning for Visual Recognition
Jingdong Wang
Ke Sun
Tianheng Cheng
Borui Jiang
Chaorui Deng
...
Yadong Mu
Mingkui Tan
Xinggang Wang
Wenyu Liu
Bin Xiao
195
3,541
0
20 Aug 2019
1