Convolution Meets LoRA: Parameter Efficient Finetuning for Segment
Anything Model

Convolution Meets LoRA: Parameter Efficient Finetuning for Segment Anything Model

31 January 2024

Papers citing "Convolution Meets LoRA: Parameter Efficient Finetuning for Segment Anything Model"

11 / 11 papers shown

Title
Adaptive Blind All-in-One Image Restoration David Serrano-Lozano Luis Herranz Shaolin Su Javier Vázquez-Corral VLM 95 0 0 27 Nov 2024
Agent Skill Acquisition for Large Language Models via CycleQD So Kuroki Taishi Nakamura Takuya Akiba Yujin Tang MoMe 34 0 0 16 Oct 2024
Low-Rank Interconnected Adaptation Across Layers Yibo Zhong Yao Zhou OffRL MoE 48 1 0 13 Jul 2024
PhysMLE: Generalizable and Priors-Inclusive Multi-task Remote Physiological Measurement Jiyao Wang Hao Lu Ange Wang Xiao Yang Ying Chen Dengbo He Kaishun Wu 26 3 0 10 May 2024
Customized Segment Anything Model for Medical Image Segmentation Kaiwen Zhang Dong Liu MedIm VLM 100 287 0 26 Apr 2023
Mixture-of-Experts with Expert Choice Routing Yan-Quan Zhou Tao Lei Han-Chu Liu Nan Du Yanping Huang Vincent Zhao Andrew M. Dai Zhifeng Chen Quoc V. Le James Laudon MoE 160 327 0 18 Feb 2022
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 305 7,443 0 11 Nov 2021
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 280 3,848 0 18 Apr 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 277 3,623 0 24 Feb 2021
TransFuse: Fusing Transformers and CNNs for Medical Image Segmentation Yundong Zhang Huiye Liu Qiang Hu ViT MedIm 206 891 0 16 Feb 2021
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 294 75,834 0 18 May 2015