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Improving Fine-tuning of Self-supervised Models with Contrastive
  Initialization

Improving Fine-tuning of Self-supervised Models with Contrastive Initialization

30 July 2022
Haolin Pan
Yong Guo
Qinyi Deng
Hao-Fan Yang
Yiqun Chen
Jian Chen
    SSL
ArXivPDFHTML

Papers citing "Improving Fine-tuning of Self-supervised Models with Contrastive Initialization"

13 / 13 papers shown
Title
BiSSL: Enhancing the Alignment Between Self-Supervised Pretraining and Downstream Fine-Tuning via Bilevel Optimization
BiSSL: Enhancing the Alignment Between Self-Supervised Pretraining and Downstream Fine-Tuning via Bilevel Optimization
Gustav Wagner Zakarias
Lars Kai Hansen
Zheng-Hua Tan
54
0
0
03 Oct 2024
Finetuning Pre-trained Model with Limited Data for LiDAR-based 3D Object
  Detection by Bridging Domain Gaps
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
52
0
0
02 Oct 2024
How Far Can In-Context Alignment Go? Exploring the State of In-Context
  Alignment
How Far Can In-Context Alignment Go? Exploring the State of In-Context Alignment
Heyan Huang
Yinghao Li
Huashan Sun
Yu Bai
Yang Gao
50
3
0
17 Jun 2024
Concept-wise Fine-tuning Matters in Preventing Negative Transfer
Concept-wise Fine-tuning Matters in Preventing Negative Transfer
Yunqiao Yang
Long-Kai Huang
Ying Wei
40
2
0
12 Nov 2023
Controlled Randomness Improves the Performance of Transformer Models
Controlled Randomness Improves the Performance of Transformer Models
Tobias Deuβer
Cong Zhao
Wolfgang Krämer
David Leonhard
Christian Bauckhage
R. Sifa
29
1
0
20 Oct 2023
Robustifying Token Attention for Vision Transformers
Robustifying Token Attention for Vision Transformers
Yong Guo
David Stutz
Bernt Schiele
ViT
23
24
0
20 Mar 2023
Boosting Semi-Supervised Learning with Contrastive Complementary
  Labeling
Boosting Semi-Supervised Learning with Contrastive Complementary Labeling
Qinyi Deng
Yong Guo
Zhibang Yang
Haolin Pan
Jian Chen
35
10
0
13 Dec 2022
Downscaled Representation Matters: Improving Image Rescaling with
  Collaborative Downscaled Images
Downscaled Representation Matters: Improving Image Rescaling with Collaborative Downscaled Images
Bing Xu
Yong Guo
Luo Jiang
Mianjie Yu
Jian Chen
34
13
0
19 Nov 2022
Improving Robustness by Enhancing Weak Subnets
Improving Robustness by Enhancing Weak Subnets
Yong Guo
David Stutz
Bernt Schiele
AAML
35
15
0
30 Jan 2022
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
322
7,481
0
11 Nov 2021
Learning Online Visual Invariances for Novel Objects via Supervised and
  Self-Supervised Training
Learning Online Visual Invariances for Novel Objects via Supervised and Self-Supervised Training
Valerio Biscione
J. Bowers
51
13
0
04 Oct 2021
Unleashing the Power of Contrastive Self-Supervised Visual Models via
  Contrast-Regularized Fine-Tuning
Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regularized Fine-Tuning
Yifan Zhang
Bryan Hooi
Dapeng Hu
Jian Liang
Jiashi Feng
79
64
0
12 Feb 2021
Improved Baselines with Momentum Contrastive Learning
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
281
3,378
0
09 Mar 2020
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