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Object Segmentation Without Labels with Large-Scale Generative Models

Object Segmentation Without Labels with Large-Scale Generative Models

8 June 2020
A. Voynov
S. Morozov
Artem Babenko
    SSL
    OCL
    VLM
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Papers citing "Object Segmentation Without Labels with Large-Scale Generative Models"

15 / 15 papers shown
Title
SimSAM: Simple Siamese Representations Based Semantic Affinity Matrix
  for Unsupervised Image Segmentation
SimSAM: Simple Siamese Representations Based Semantic Affinity Matrix for Unsupervised Image Segmentation
Chanda Grover Kamra
Indra Deep Mastan
Nitin Kumar
Debayan Gupta
36
1
0
12 Jun 2024
SEMPART: Self-supervised Multi-resolution Partitioning of Image
  Semantics
SEMPART: Self-supervised Multi-resolution Partitioning of Image Semantics
Sriram Ravindran
Debraj Basu
29
2
0
20 Sep 2023
A Sparse Graph Formulation for Efficient Spectral Image Segmentation
A Sparse Graph Formulation for Efficient Spectral Image Segmentation
Rahul Palnitkar
J. F. R. Neto
23
0
0
22 Jun 2023
PaintSeg: Training-free Segmentation via Painting
PaintSeg: Training-free Segmentation via Painting
Xiang Li
Chung-Ching Lin
Yinpeng Chen
Zicheng Liu
Jinglu Wang
Bhiksha Raj
40
5
0
30 May 2023
Learning Neural Eigenfunctions for Unsupervised Semantic Segmentation
Learning Neural Eigenfunctions for Unsupervised Semantic Segmentation
Zhijie Deng
Yucen Luo
26
6
0
06 Apr 2023
Unsupervised Object Localization: Observing the Background to Discover
  Objects
Unsupervised Object Localization: Observing the Background to Discover Objects
Oriane Siméoni
Chloé Sekkat
Gilles Puy
Antonín Vobecký
Éloi Zablocki
Patrick Pérez
OCL
SSL
34
51
0
15 Dec 2022
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
33
4
0
25 Nov 2022
Synthetic Data Supervised Salient Object Detection
Synthetic Data Supervised Salient Object Detection
Zhenyu Wu
Lin Wang
Wei Wang
Tengfei Shi
Chenglizhao Chen
Aimin Hao
Shuo Li
29
22
0
25 Oct 2022
TokenCut: Segmenting Objects in Images and Videos with Self-supervised
  Transformer and Normalized Cut
TokenCut: Segmenting Objects in Images and Videos with Self-supervised Transformer and Normalized Cut
Yangtao Wang
Xiaoke Shen
Yuan. Yuan
Yuming Du
Maomao Li
S. Hu
James L. Crowley
Dominique Vaufreydaz
VOS
ViT
27
78
0
01 Sep 2022
Refine and Represent: Region-to-Object Representation Learning
Refine and Represent: Region-to-Object Representation Learning
Akash Gokul
Konstantinos Kallidromitis
Shufang Li
Yu Kato
Kazuki Kozuka
Trevor Darrell
Colorado Reed
SSeg
31
5
0
25 Aug 2022
Interpreting Latent Spaces of Generative Models for Medical Images using
  Unsupervised Methods
Interpreting Latent Spaces of Generative Models for Medical Images using Unsupervised Methods
Julian Schon
Raghavendra Selvan
Jens Petersen
MedIm
26
4
0
20 Jul 2022
Deep Spectral Methods: A Surprisingly Strong Baseline for Unsupervised
  Semantic Segmentation and Localization
Deep Spectral Methods: A Surprisingly Strong Baseline for Unsupervised Semantic Segmentation and Localization
Luke Melas-Kyriazi
Christian Rupprecht
Iro Laina
Andrea Vedaldi
30
160
0
16 May 2022
Unsupervised Salient Object Detection with Spectral Cluster Voting
Unsupervised Salient Object Detection with Spectral Cluster Voting
Gyungin Shin
Samuel Albanie
Weidi Xie
24
65
0
23 Mar 2022
Label-Efficient Semantic Segmentation with Diffusion Models
Label-Efficient Semantic Segmentation with Diffusion Models
Dmitry Baranchuk
Ivan Rubachev
A. Voynov
Valentin Khrulkov
Artem Babenko
DiffM
VLM
195
517
0
06 Dec 2021
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
32
42
0
29 Oct 2021
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