AdaptFormer: Adapting Vision Transformers for Scalable Visual
Recognition

AdaptFormer: Adapting Vision Transformers for Scalable Visual Recognition

26 May 2022

Ping Luo

Papers citing "AdaptFormer: Adapting Vision Transformers for Scalable Visual Recognition"

18 / 18 papers shown

Title
Adapting In-Domain Few-Shot Segmentation to New Domains without Retraining Qi Fan Kaiqi Liu Nian Liu Hisham Cholakkal Rao Muhammad Anwer Wenbin Li Yang Gao 35 0 0 30 Apr 2025
BARIS: Boundary-Aware Refinement with Environmental Degradation Priors for Robust Underwater Instance Segmentation Pin-Chi Pan Soo-Chang Pei 31 0 0 28 Apr 2025
E-InMeMo: Enhanced Prompting for Visual In-Context Learning Jiahao Zhang Bowen Wang Hong Liu Liangzhi Li Yuta Nakashima Hajime Nagahara VLM 77 0 0 25 Apr 2025
Enhancing Pre-Trained Model-Based Class-Incremental Learning through Neural Collapse Kun He Zijian Song Shuoxi Zhang J. Hopcroft CLL 49 0 0 25 Apr 2025
Learning Optimal Prompt Ensemble for Multi-source Visual Prompt Transfer Enming Zhang Liwen Cao Yanru Wu Zijie Zhao Guan Wang Yang Li 31 0 0 09 Apr 2025
Efficient Self-Supervised Learning for Earth Observation via Dynamic Dataset Curation Thomas Kerdreux A. Tuel Quentin Febvre A. Mouche Bertrand Chapron 45 0 0 09 Apr 2025
Rethinking the Bias of Foundation Model under Long-tailed Distribution Jiahao Chen Bin Qin Jiangmeng Li Hao Chen Bing-Huang Su 33 0 0 27 Jan 2025
Dynamic Integration of Task-Specific Adapters for Class Incremental Learning Jiashuo Li Shaokun Wang Bo Qian Yuhang He Xing Wei Qiang Wang Yihong Gong CLL 45 1 0 23 Sep 2024
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 233 5,353 0 11 Nov 2021
P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks Xiao Liu Kaixuan Ji Yicheng Fu Weng Lam Tam Zhengxiao Du Zhilin Yang Jie Tang VLM 206 604 0 14 Oct 2021
MLP-Mixer: An all-MLP Architecture for Vision Ilya O. Tolstikhin N. Houlsby Alexander Kolesnikov Lucas Beyer Xiaohua Zhai ... Andreas Steiner Daniel Keysers Jakob Uszkoreit Mario Lucic Alexey Dosovitskiy 216 2,132 0 04 May 2021
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 257 4,299 0 29 Apr 2021
ImageNet-21K Pretraining for the Masses T. Ridnik Emanuel Ben-Baruch Asaf Noy Lihi Zelnik-Manor SSeg VLM CLIP 138 542 0 22 Apr 2021
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 254 2,999 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 245 2,898 0 24 Feb 2021
Is Space-Time Attention All You Need for Video Understanding? Gedas Bertasius Heng Wang Lorenzo Torresani ViT 261 1,486 0 09 Feb 2021
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 267 6,003 0 20 Apr 2018
A disciplined approach to neural network hyper-parameters: Part 1 -- learning rate, batch size, momentum, and weight decay L. Smith 160 943 0 26 Mar 2018