Efficient Modulation for Vision Networks

29 March 2024

Jianwei Yang

Lu Yuan

Papers citing "Efficient Modulation for Vision Networks"

22 / 22 papers shown

Title
GmNet: Revisiting Gating Mechanisms From A Frequency View Yifan Wang Xu Ma Yitian Zhang Zhongruo Wang Sung-Cheol Kim Vahid Mirjalili Vidya Renganathan Y. Fu 36 0 0 28 Mar 2025
OverLoCK: An Overview-first-Look-Closely-next ConvNet with Context-Mixing Dynamic Kernels Meng Lou Yizhou Yu 110 1 0 27 Feb 2025
iFormer: Integrating ConvNet and Transformer for Mobile Application Chuanyang Zheng ViT 67 0 0 26 Jan 2025
RecConv: Efficient Recursive Convolutions for Multi-Frequency Representations Mingshu Zhao Yi Luo Yong Ouyang 31 0 0 27 Dec 2024
EfficientViM: Efficient Vision Mamba with Hidden State Mixer based State Space Duality Sanghyeok Lee Joonmyung Choi Hyunwoo J. Kim 107 3 0 22 Nov 2024
HRVMamba: High-Resolution Visual State Space Model for Dense Prediction Hao Zhang Yongqiang Ma Wenqi Shao Ping Luo Nanning Zheng Kaipeng Zhang Mamba 20 1 0 04 Oct 2024
LGFN: Lightweight Light Field Image Super-Resolution using Local Convolution Modulation and Global Attention Feature Extraction Zhongxin Yu Liang Chen Zhiyun Zeng Kunping Yang Shaofei Luo Shaorui Chen Cheng Zhong SupR 20 0 0 26 Sep 2024
LowFormer: Hardware Efficient Design for Convolutional Transformer Backbones Moritz Nottebaum Matteo Dunnhofer C. Micheloni ViT 26 1 0 05 Sep 2024
MacFormer: Semantic Segmentation with Fine Object Boundaries Guoan Xu Wenfeng Huang Tao Wu Ligeng Chen Wenjing Jia Guangwei Gao Xiatian Zhu Stuart W. Perry 29 0 0 11 Aug 2024
SCSA: Exploring the Synergistic Effects Between Spatial and Channel Attention Yunzhong Si Huiying Xu Xinzhong Zhu Wenhao Zhang Yao Dong Yuxing Chen Hongbo Li 35 16 0 06 Jul 2024
MambaMixer: Efficient Selective State Space Models with Dual Token and Channel Selection Ali Behrouz Michele Santacatterina Ramin Zabih 37 32 0 29 Mar 2024
Which Transformer to Favor: A Comparative Analysis of Efficiency in Vision Transformers Tobias Christian Nauen Sebastián M. Palacio Federico Raue Andreas Dengel 35 3 0 18 Aug 2023
Run, Don't Walk: Chasing Higher FLOPS for Faster Neural Networks Jierun Chen Shiu-hong Kao Hao He Weipeng Zhuo Song Wen Chul-Ho Lee Shueng-Han Gary Chan OOD 27 679 0 07 Mar 2023
Patches Are All You Need? Asher Trockman J. Zico Kolter ViT 214 395 0 24 Jan 2022
MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer Sachin Mehta Mohammad Rastegari ViT 189 1,148 0 05 Oct 2021
ResNet strikes back: An improved training procedure in timm Ross Wightman Hugo Touvron Hervé Jégou AI4TS 198 477 0 01 Oct 2021
ConvMLP: Hierarchical Convolutional MLPs for Vision Jiachen Li Ali Hassani Steven Walton Humphrey Shi 33 55 0 09 Sep 2021
Mobile-Former: Bridging MobileNet and Transformer Yinpeng Chen Xiyang Dai Dongdong Chen Mengchen Liu Xiaoyi Dong Lu Yuan Zicheng Liu ViT 172 462 0 12 Aug 2021
CMT: Convolutional Neural Networks Meet Vision Transformers Jianyuan Guo Kai Han Han Wu Yehui Tang Chunjing Xu Yunhe Wang Chang Xu ViT 328 500 0 13 Jul 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
RepVGG: Making VGG-style ConvNets Great Again Xiaohan Ding X. Zhang Ningning Ma Jungong Han Guiguang Ding Jian-jun Sun 117 1,484 0 11 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 948 20,214 0 17 Apr 2017