SimSAM: Simple Siamese Representations Based Semantic Affinity Matrix
for Unsupervised Image Segmentation

SimSAM: Simple Siamese Representations Based Semantic Affinity Matrix for Unsupervised Image Segmentation

12 June 2024

Chanda Grover Kamra

Indra Deep Mastan

Papers citing "SimSAM: Simple Siamese Representations Based Semantic Affinity Matrix for Unsupervised Image Segmentation"

17 / 17 papers shown

Title
Segment Anything A. Kirillov Eric Mintun Nikhila Ravi Hanzi Mao Chloe Rolland ... Spencer Whitehead Alexander C. Berg Wan-Yen Lo Piotr Dollár Ross B. Girshick MLLM VLM 304 7,213 0 05 Apr 2023
Open Vocabulary Semantic Segmentation with Patch Aligned Contrastive Learning Jishnu Mukhoti Tsung-Yu Lin Omid Poursaeed Rui Wang Ashish Shah Philip Torr Ser-Nam Lim VLM 115 82 0 09 Dec 2022
ACSeg: Adaptive Conceptualization for Unsupervised Semantic Segmentation Kehan Li Zhennan Wang Ze-Long Cheng Runyi Yu Yian Zhao Guoli Song Chang Liu Li-ming Yuan Jie Chen 57 38 0 12 Oct 2022
Unsupervised Semantic Segmentation with Self-supervised Object-centric Representations Andrii Zadaianchuk Matthaeus Kleindessner Yi Zhu Francesco Locatello Thomas Brox 77 51 0 11 Jul 2022
Deep Spectral Methods: A Surprisingly Strong Baseline for Unsupervised Semantic Segmentation and Localization Luke Melas-Kyriazi Christian Rupprecht Iro Laina Andrea Vedaldi 77 164 0 16 May 2022
Unsupervised Semantic Segmentation by Distilling Feature Correspondences Mark Hamilton Zhoutong Zhang Bharath Hariharan Noah Snavely William T. Freeman 36 240 0 16 Mar 2022
Efficient Self-supervised Vision Transformers for Representation Learning Chunyuan Li Jianwei Yang Pengchuan Zhang Mei Gao Bin Xiao Xiyang Dai Lu Yuan Jianfeng Gao ViT 91 213 0 17 Jun 2021
Finding an Unsupervised Image Segmenter in Each of Your Deep Generative Models Luke Melas-Kyriazi Christian Rupprecht Iro Laina Andrea Vedaldi OCL 66 53 0 17 May 2021
VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning Adrien Bardes Jean Ponce Yann LeCun SSL DML 146 931 0 11 May 2021
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 611 6,029 0 29 Apr 2021
Barlow Twins: Self-Supervised Learning via Redundancy Reduction Jure Zbontar Li Jing Ishan Misra Yann LeCun Stéphane Deny SSL 270 2,338 0 04 Mar 2021
Exploring Simple Siamese Representation Learning Xinlei Chen Kaiming He SSL 242 4,036 0 20 Nov 2020
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale Alexey Dosovitskiy Lucas Beyer Alexander Kolesnikov Dirk Weissenborn Xiaohua Zhai ... Matthias Minderer G. Heigold Sylvain Gelly Jakob Uszkoreit N. Houlsby ViT 517 40,739 0 22 Oct 2020
Bootstrap your own latent: A new approach to self-supervised Learning Jean-Bastien Grill Florian Strub Florent Altché Corentin Tallec Pierre Harvey Richemond ... M. G. Azar Bilal Piot Koray Kavukcuoglu Rémi Munos Michal Valko SSL 325 6,773 0 13 Jun 2020
Object Segmentation Without Labels with Large-Scale Generative Models A. Voynov S. Morozov Artem Babenko SSL OCL VLM 52 61 0 08 Jun 2020
A Simple Framework for Contrastive Learning of Visual Representations Ting-Li Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton SSL 312 18,686 0 13 Feb 2020
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.8K 193,426 0 10 Dec 2015