Mini but Mighty: Finetuning ViTs with Mini Adapters

7 November 2023

Papers citing "Mini but Mighty: Finetuning ViTs with Mini Adapters"

7 / 7 papers shown

Title
Efficient Adaptation of Deep Neural Networks for Semantic Segmentation in Space Applications Leonardo Olivi Edoardo Santero Mormile Enzo Tartaglione SSeg 35 0 0 22 Apr 2025
Rethinking Class-incremental Learning in the Era of Large Pre-trained Models via Test-Time Adaptation Imad Eddine Marouf Subhankar Roy Enzo Tartaglione Stéphane Lathuilière CLL 26 3 0 17 Oct 2023
AdaptFormer: Adapting Vision Transformers for Scalable Visual Recognition Shoufa Chen Chongjian Ge Zhan Tong Jiangliu Wang Yibing Song Jue Wang Ping Luo 146 638 0 26 May 2022
CMT: Convolutional Neural Networks Meet Vision Transformers Jianyuan Guo Kai Han Han Wu Yehui Tang Chunjing Xu Yunhe Wang Chang Xu ViT 351 633 0 13 Jul 2021
Beyond Fully-Connected Layers with Quaternions: Parameterization of Hypercomplex Multiplications with $1/n$ Parameters Aston Zhang Yi Tay Shuai Zhang Alvin Chan A. Luu S. Hui Jie Fu MQ 179 83 0 17 Feb 2021
Comparing Rewinding and Fine-tuning in Neural Network Pruning Alex Renda Jonathan Frankle Michael Carbin 224 383 0 05 Mar 2020
Fine-Grained Car Detection for Visual Census Estimation Timnit Gebru J. Krause Yilun Wang Duyun Chen Jia Deng Li Fei-Fei 67 116 0 07 Sep 2017