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Information-Theoretic Segmentation by Inpainting Error Maximization

Information-Theoretic Segmentation by Inpainting Error Maximization

14 December 2020
Pedro H. P. Savarese
Sunnie S. Y. Kim
Michael Maire
G. Shakhnarovich
David A. McAllester
ArXivPDFHTML

Papers citing "Information-Theoretic Segmentation by Inpainting Error Maximization"

7 / 7 papers shown
Title
Surface-SOS: Self-Supervised Object Segmentation via Neural Surface Representation
Xiaoyun Zheng
Liwei Liao
Jianbo Jiao
Feng Gao
Ronggang Wang
80
6
0
20 Jan 2025
Co-Learning Semantic-aware Unsupervised Segmentation for Pathological Image Registration
Co-Learning Semantic-aware Unsupervised Segmentation for Pathological Image Registration
Yang Liu
Shi Gu
MedIm
31
3
0
17 Oct 2023
SEMPART: Self-supervised Multi-resolution Partitioning of Image
  Semantics
SEMPART: Self-supervised Multi-resolution Partitioning of Image Semantics
Sriram Ravindran
Debraj Basu
24
2
0
20 Sep 2023
ILSGAN: Independent Layer Synthesis for Unsupervised
  Foreground-Background Segmentation
ILSGAN: Independent Layer Synthesis for Unsupervised Foreground-Background Segmentation
Qiran Zou
Yu Yang
Wing Yin Cheung
Chang-rui Liu
Xiang Ji
GAN
11
4
0
25 Nov 2022
Simple Unsupervised Object-Centric Learning for Complex and Naturalistic
  Videos
Simple Unsupervised Object-Centric Learning for Complex and Naturalistic Videos
Gautam Singh
Yi-Fu Wu
Sungjin Ahn
OCL
28
113
0
27 May 2022
Unsupervised Foreground Extraction via Deep Region Competition
Unsupervised Foreground Extraction via Deep Region Competition
Peiyu Yu
Sirui Xie
Xiaojian Ma
Yixin Zhu
Ying Nian Wu
Song-Chun Zhu
OCL
17
41
0
29 Oct 2021
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image
  Segmentation
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan
Alex Kendall
R. Cipolla
SSeg
429
15,438
0
02 Nov 2015
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