DR-Tune: Improving Fine-tuning of Pretrained Visual Models by Distribution Regularization with Semantic Calibration

23 August 2023

Papers citing "DR-Tune: Improving Fine-tuning of Pretrained Visual Models by Distribution Regularization with Semantic Calibration"

8 / 8 papers shown

Title
A Survey on fMRI-based Brain Decoding for Reconstructing Multimodal Stimuli Pengyu Liu Guohua Dong D. Guo Kun Li Fengling Li Xun Yang Meng Wang Xiaomin Ying AI4CE 41 0 0 20 Mar 2025
Finetuning Pre-trained Model with Limited Data for LiDAR-based 3D Object Detection by Bridging Domain Gaps Jiyun Jang Mincheol Chang Jongwon Park Jinkyu Kim 3DPC 40 0 0 02 Oct 2024
iVPT: Improving Task-relevant Information Sharing in Visual Prompt Tuning by Cross-layer Dynamic Connection Nan Zhou Jiaxin Chen Di Huang 35 1 0 08 Apr 2024
Adaptive Random Feature Regularization on Fine-tuning Deep Neural Networks Shinýa Yamaguchi Sekitoshi Kanai Kazuki Adachi Daiki Chijiwa 19 1 0 15 Mar 2024
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
Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regularized Fine-Tuning Yifan Zhang Bryan Hooi Dapeng Hu Jian Liang Jiashi Feng 76 64 0 12 Feb 2021
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 267 3,371 0 09 Mar 2020
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Z. Tu Kaiming He 297 10,220 0 16 Nov 2016