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. 2109.07592
  4. Cited By
UCP-Net: Unstructured Contour Points for Instance Segmentation

UCP-Net: Unstructured Contour Points for Instance Segmentation

15 September 2021
Camille Dupont
Y. Ouakrim
Q. C. Pham
ArXivPDFHTML

Papers citing "UCP-Net: Unstructured Contour Points for Instance Segmentation"

7 / 7 papers shown
Title
Getting to 99% Accuracy in Interactive Segmentation
Getting to 99% Accuracy in Interactive Segmentation
Marco Forte
Brian L. Price
Scott D. Cohen
N. Xu
Franccois Pitié
133
37
0
17 Mar 2020
f-BRS: Rethinking Backpropagating Refinement for Interactive
  Segmentation
f-BRS: Rethinking Backpropagating Refinement for Interactive Segmentation
Konstantin Sofiiuk
Ilya A. Petrov
O. Barinova
Anton Konushin
138
200
0
28 Jan 2020
Large-scale interactive object segmentation with human annotators
Large-scale interactive object segmentation with human annotators
Rodrigo Benenson
S. Popov
V. Ferrari
VLM
106
222
0
26 Mar 2019
Interactive Video Object Segmentation in the Wild
Interactive Video Object Segmentation in the Wild
Arnaud Benard
Michael Gygli
VOS
38
49
0
31 Dec 2017
Deep Extreme Cut: From Extreme Points to Object Segmentation
Deep Extreme Cut: From Extreme Points to Object Segmentation
Kevis-Kokitsi Maninis
Sergi Caelles
Jordi Pont-Tuset
Luc Van Gool
65
418
0
24 Nov 2017
Extreme clicking for efficient object annotation
Extreme clicking for efficient object annotation
Dim P. Papadopoulos
J. Uijlings
Frank Keller
V. Ferrari
51
246
0
09 Aug 2017
Deep Interactive Object Selection
Deep Interactive Object Selection
N. Xu
Brian L. Price
Scott D. Cohen
Jimei Yang
Thomas Huang
49
427
0
13 Mar 2016
1