Lite-SAM Is Actually What You Need for Segment Everything

Lite-SAM Is Actually What You Need for Segment Everything

12 July 2024

Papers citing "Lite-SAM Is Actually What You Need for Segment Everything"

8 / 8 papers shown

Title
Towards Artificial General or Personalized Intelligence? A Survey on Foundation Models for Personalized Federated Intelligence Yu Qiao Huy Q. Le Avi Deb Raha Phuong-Nam Tran Apurba Adhikary Mengchun Zhang Loc X. Nguyen Eui-nam Huh Dusit Niyato Choong Seon Hong AI4CE 31 0 0 11 May 2025
HRMedSeg: Unlocking High-resolution Medical Image segmentation via Memory-efficient Attention Modeling Qing Xu Zhenye Lou Chenxin Li Xiangjian He Rong Qu Tesema Fiseha Berhanu Yi Wang Wenting Duan Zhen Chen MedIm 33 0 0 08 Apr 2025
On Efficient Variants of Segment Anything Model: A Survey Xiaorui Sun Xiaozhong Liu H. Shen Xiaofeng Zhu Ping Hu VLM 48 4 0 07 Oct 2024
A Complete Survey on Generative AI (AIGC): Is ChatGPT from GPT-4 to GPT-5 All You Need? Chaoning Zhang Chenshuang Zhang Sheng Zheng Yu Qiao Chenghao Li ... Lik-Hang Lee Yang Yang Heng Tao Shen In So Kweon Choong Seon Hong 85 159 0 21 Mar 2023
MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer Sachin Mehta Mohammad Rastegari ViT 218 1,213 0 05 Oct 2021
ResNet strikes back: An improved training procedure in timm Ross Wightman Hugo Touvron Hervé Jégou AI4TS 212 487 0 01 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 280 3,623 0 24 Feb 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 20,567 0 17 Apr 2017