ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2008.07012
  4. Cited By
DyStaB: Unsupervised Object Segmentation via Dynamic-Static
  Bootstrapping

DyStaB: Unsupervised Object Segmentation via Dynamic-Static Bootstrapping

16 August 2020
Yanchao Yang
B. Lai
Stefano Soatto
    VOS
    OCL
ArXivPDFHTML

Papers citing "DyStaB: Unsupervised Object Segmentation via Dynamic-Static Bootstrapping"

2 / 2 papers shown
Title
Information-Theoretic Segmentation by Inpainting Error Maximization
Information-Theoretic Segmentation by Inpainting Error Maximization
Pedro H. P. Savarese
Sunnie S. Y. Kim
Michael Maire
G. Shakhnarovich
David A. McAllester
24
29
0
14 Dec 2020
Motion-Attentive Transition for Zero-Shot Video Object Segmentation
Motion-Attentive Transition for Zero-Shot Video Object Segmentation
Tianfei Zhou
Shunzhou Wang
Yi Zhou
Yazhou Yao
Jianwu Li
Ling Shao
VOS
127
189
0
09 Mar 2020
1