Vision Transformers: From Semantic Segmentation to Dense Prediction

Vision Transformers: From Semantic Segmentation to Dense Prediction

19 July 2022

Li Zhang

Philip H. S. Torr

Papers citing "Vision Transformers: From Semantic Segmentation to Dense Prediction"

9 / 9 papers shown

Title
Mamba-Shedder: Post-Transformer Compression for Efficient Selective Structured State Space Models J. P. Muñoz Jinjie Yuan Nilesh Jain Mamba 68 1 0 28 Jan 2025
HSLiNets: Hyperspectral Image and LiDAR Data Fusion Using Efficient Dual Non-Linear Feature Learning Networks Judy X Yang Jing Wang Chen Hong Sui Zekun Long Jun Zhou 57 0 0 30 Nov 2024
Visual Parser: Representing Part-whole Hierarchies with Transformers Shuyang Sun Xiaoyu Yue S. Bai Philip H. S. Torr 50 26 0 13 Jul 2021
Transformer in Transformer Kai Han An Xiao Enhua Wu Jianyuan Guo Chunjing Xu Yunhe Wang ViT 282 1,490 0 27 Feb 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 3,538 0 24 Feb 2021
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Z. Tu Kaiming He 261 10,106 0 16 Nov 2016
Semantic Understanding of Scenes through the ADE20K Dataset Bolei Zhou Hang Zhao Xavier Puig Tete Xiao Sanja Fidler Adela Barriuso Antonio Torralba SSeg 243 1,817 0 18 Aug 2016
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation Vijay Badrinarayanan Alex Kendall R. Cipolla SSeg 420 15,438 0 02 Nov 2015
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 279 39,083 0 01 Sep 2014