PAUMER: Patch Pausing Transformer for Semantic Segmentation

1 November 2023

Papers citing "PAUMER: Patch Pausing Transformer for Semantic Segmentation"

5 / 5 papers shown

Title
ALGM: Adaptive Local-then-Global Token Merging for Efficient Semantic Segmentation with Plain Vision Transformers Narges Norouzi Svetlana Orlova Daan de Geus Gijs Dubbelman ViT FedML 50 4 0 14 Jun 2024
$Understanding Dataset Difficulty with $\mathcal{V}$-Usable Information$ Understanding Dataset Difficulty with $\mathcal{V}$ -Usable Information Kawin Ethayarajh Yejin Choi Swabha Swayamdipta 167 238 0 16 Oct 2021
Token Pooling in Vision Transformers D. Marin Jen-Hao Rick Chang Anurag Ranjan Anish K. Prabhu Mohammad Rastegari Oncel Tuzel ViT 76 66 0 08 Oct 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 316 3,637 0 24 Feb 2021
Transformers in Vision: A Survey Salman Khan Muzammal Naseer Munawar Hayat Syed Waqas Zamir Fahad Shahbaz Khan M. Shah ViT 233 2,434 0 04 Jan 2021