EdgeFM: Leveraging Foundation Model for Open-set Learning on the Edge

18 November 2023

Papers citing "EdgeFM: Leveraging Foundation Model for Open-set Learning on the Edge"

8 / 8 papers shown

Title
An LLM-Empowered Low-Resolution Vision System for On-Device Human Behavior Understanding Siyang Jiang Bufang Yang Lilin Xu Mu Yuan Yeerzhati Abudunuer ... Liekang Zeng Hongkai Chen Zhenyu Yan Xiaofan Jiang Guoliang Xing VLM 45 0 0 03 May 2025
BlabberSeg: Real-Time Embedded Open-Vocabulary Aerial Segmentation Haechan Mark Bong Ricardo de Azambuja Giovanni Beltrame VLM 21 0 0 16 Oct 2024
Towards Edge General Intelligence via Large Language Models: Opportunities and Challenges Handi Chen Weipeng Deng Shuo Yang J. Xu Zhihan Jiang Edith Ngai Jiangchuan Liu Xue Liu ELM 19 1 0 16 Oct 2024
FreeLM: Fine-Tuning-Free Language Model Xiang Li Xin Jiang Xuying Meng Aixin Sun Yequan Wang 39 3 0 02 May 2023
LM-Nav: Robotic Navigation with Large Pre-Trained Models of Language, Vision, and Action Dhruv Shah B. Osinski Brian Ichter Sergey Levine LM&Ro 136 430 0 10 Jul 2022
Contrastive Learning Rivals Masked Image Modeling in Fine-tuning via Feature Distillation Yixuan Wei Han Hu Zhenda Xie Zheng-Wei Zhang Yue Cao Jianmin Bao Dong Chen B. Guo CLIP 78 123 0 27 May 2022
It's always personal: Using Early Exits for Efficient On-Device CNN Personalisation Ilias Leontiadis Stefanos Laskaridis Stylianos I. Venieris Nicholas D. Lane 55 24 0 02 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 948 20,214 0 17 Apr 2017