Information-Theoretic Segmentation by Inpainting Error Maximization

14 December 2020

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

9 / 9 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 Yang Liu Shi Gu MedIm 38 4 0 17 Oct 2023
SEMPART: Self-supervised Multi-resolution Partitioning of Image Semantics Sriram Ravindran Debraj Basu 29 2 0 20 Sep 2023
ILSGAN: Independent Layer Synthesis for Unsupervised Foreground-Background Segmentation Qiran Zou Yu Yang Wing Yin Cheung Chang-rui Liu Xiang Ji GAN 31 4 0 25 Nov 2022
Unsupervised Multi-View Object Segmentation Using Radiance Field Propagation Xinhang Liu Jiaben Chen Huai Yu Yu-Wing Tai Chi-Keung Tang 85 28 0 02 Oct 2022
NeRF-SOS: Any-View Self-supervised Object Segmentation on Complex Scenes Zhiwen Fan Peihao Wang Yi Ding Xinyu Gong Dejia Xu Zhangyang Wang 99 63 0 19 Sep 2022
Simple Unsupervised Object-Centric Learning for Complex and Naturalistic Videos Gautam Singh Yi-Fu Wu Sungjin Ahn OCL 48 114 0 27 May 2022
Unsupervised Foreground Extraction via Deep Region Competition Peiyu Yu Sirui Xie Xiaojian Ma Yixin Zhu Ying Nian Wu Song-Chun Zhu OCL 29 42 0 29 Oct 2021
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation Vijay Badrinarayanan Alex Kendall R. Cipolla SSeg 446 15,639 0 02 Nov 2015