Semantic Graph Consistency: Going Beyond Patches for Regularizing Self-Supervised Vision Transformers

18 June 2024

Papers citing "Semantic Graph Consistency: Going Beyond Patches for Regularizing Self-Supervised Vision Transformers"

7 / 7 papers shown

Title
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 258 7,412 0 11 Nov 2021
Intriguing Properties of Vision Transformers Muzammal Naseer Kanchana Ranasinghe Salman Khan Munawar Hayat F. Khan Ming-Hsuan Yang ViT 251 618 0 21 May 2021
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 295 5,761 0 29 Apr 2021
Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions Wenhai Wang Enze Xie Xiang Li Deng-Ping Fan Kaitao Song Ding Liang Tong Lu Ping Luo Ling Shao ViT 263 3,604 0 24 Feb 2021
Transformers in Vision: A Survey Salman Khan Muzammal Naseer Munawar Hayat Syed Waqas Zamir F. Khan M. Shah ViT 225 2,427 0 04 Jan 2021
Spatial Pyramid Based Graph Reasoning for Semantic Segmentation Xia Li Yibo Yang Qijie Zhao Tiancheng Shen Zhouchen Lin Hong Liu SSeg GNN 102 161 0 23 Mar 2020
Graph-Based Global Reasoning Networks Yunpeng Chen Marcus Rohrbach Zhicheng Yan Shuicheng Yan Jiashi Feng Yannis Kalantidis GNN NAI 255 456 0 30 Nov 2018