Vim-F: Visual State Space Model Benefiting from Learning in the Frequency Domain

8 January 2025

Papers citing "Vim-F: Visual State Space Model Benefiting from Learning in the Frequency Domain"

7 / 7 papers shown

Title
Vision Mamba in Remote Sensing: A Comprehensive Survey of Techniques, Applications and Outlook Muyi Bao Shuchang Lyu Zhaoyang Xu Huiyu Zhou Jinchang Ren Shiming Xiang X. Li Guangliang Cheng Mamba 80 0 0 01 May 2025
VM-UNet: Vision Mamba UNet for Medical Image Segmentation Jiacheng Ruan Suncheng Xiang Mamba 72 254 0 04 Feb 2024
MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer Sachin Mehta Mohammad Rastegari ViT 194 1,212 0 05 Oct 2021
Bottleneck Transformers for Visual Recognition A. Srinivas Tsung-Yi Lin Niki Parmar Jonathon Shlens Pieter Abbeel Ashish Vaswani SLR 290 979 0 27 Jan 2021
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Andrew G. Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand M. Andreetto Hartwig Adam 3DH 950 20,561 0 17 Apr 2017
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Z. Tu Kaiming He 297 10,216 0 16 Nov 2016
Densely Connected Convolutional Networks Gao Huang Zhuang Liu L. V. D. van der Maaten Kilian Q. Weinberger PINN 3DV 249 36,362 0 25 Aug 2016