Content-aware Token Sharing for Efficient Semantic Segmentation with
Vision Transformers

Content-aware Token Sharing for Efficient Semantic Segmentation with Vision Transformers

3 June 2023

Papers citing "Content-aware Token Sharing for Efficient Semantic Segmentation with Vision Transformers"

8 / 8 papers shown

Title
Back to Fundamentals: Low-Level Visual Features Guided Progressive Token Pruning Yuanbing Ouyang Yizhuo Liang Qingpeng Li Xinfei Guo Yiming Luo Di Wu Hao Wang Yushan Pan ViT VLM 73 0 0 25 Apr 2025
FlexiDiT: Your Diffusion Transformer Can Easily Generate High-Quality Samples with Less Compute Sotiris Anagnostidis Gregor Bachmann Yeongmin Kim Jonas Kohler Markos Georgopoulos A. Sanakoyeu Yuming Du Albert Pumarola Ali K. Thabet Edgar Schönfeld 92 0 0 27 Feb 2025
SegMAN: Omni-scale Context Modeling with State Space Models and Local Attention for Semantic Segmentation Yunxiang Fu Meng Lou Yizhou Yu 115 1 0 16 Dec 2024
Soft labelling for semantic segmentation: Bringing coherence to label down-sampling Roberto Alcover-Couso Marcos Escudero-Viñolo Juan C. Sanmiguel Jose M. Martínez 32 7 0 27 Feb 2023
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 322 7,481 0 11 Nov 2021
MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer Sachin Mehta Mohammad Rastegari ViT 218 1,219 0 05 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 3,633 0 24 Feb 2021
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 298 39,238 0 01 Sep 2014