ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2102.06605
  4. Cited By
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

12 February 2021
Yifan Zhang
Bryan Hooi
Dapeng Hu
Jian Liang
Jiashi Feng
ArXivPDFHTML

Papers citing "Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regularized Fine-Tuning"

13 / 13 papers shown
Title
Which Augmentation Should I Use? An Empirical Investigation of
  Augmentations for Self-Supervised Phonocardiogram Representation Learning
Which Augmentation Should I Use? An Empirical Investigation of Augmentations for Self-Supervised Phonocardiogram Representation Learning
Aristotelis Ballas
Vasileios Papapanagiotou
Christos Diou
30
0
0
01 Dec 2023
Disentangling Writer and Character Styles for Handwriting Generation
Disentangling Writer and Character Styles for Handwriting Generation
Gang Dai
Yifan Zhang
Qingfeng Wang
Qing Du
Zhu Liang Yu
Zhuoman Liu
Shuangping Huang
34
21
0
26 Mar 2023
Finetune like you pretrain: Improved finetuning of zero-shot vision
  models
Finetune like you pretrain: Improved finetuning of zero-shot vision models
Sachin Goyal
Ananya Kumar
Sankalp Garg
Zico Kolter
Aditi Raghunathan
CLIP
VLM
41
136
0
01 Dec 2022
Expanding Small-Scale Datasets with Guided Imagination
Expanding Small-Scale Datasets with Guided Imagination
Yifan Zhang
Daquan Zhou
Bryan Hooi
Kaixin Wang
Jiashi Feng
36
45
0
25 Nov 2022
From Node Interaction to Hop Interaction: New Effective and Scalable
  Graph Learning Paradigm
From Node Interaction to Hop Interaction: New Effective and Scalable Graph Learning Paradigm
Jie Chen
Zilong Li
Ying Zhu
Junping Zhang
Jian Pu
34
8
0
21 Nov 2022
Improving Fine-tuning of Self-supervised Models with Contrastive
  Initialization
Improving Fine-tuning of Self-supervised Models with Contrastive Initialization
Haolin Pan
Yong Guo
Qinyi Deng
Hao-Fan Yang
Yiqun Chen
Jian Chen
SSL
18
19
0
30 Jul 2022
Reducing the Vision and Language Bias for Temporal Sentence Grounding
Reducing the Vision and Language Bias for Temporal Sentence Grounding
Daizong Liu
Xiaoye Qu
Wei Hu
19
49
0
27 Jul 2022
Contrastive Learning for Cross-Domain Open World Recognition
Contrastive Learning for Cross-Domain Open World Recognition
Francesco Cappio Borlino
S. Bucci
Tatiana Tommasi
SSL
26
3
0
17 Mar 2022
Neighborhood Consensus Contrastive Learning for Backward-Compatible
  Representation
Neighborhood Consensus Contrastive Learning for Backward-Compatible Representation
Shengsen Wu
Liang Chen
Yihang Lou
Yan Bai
Tao Bai
Minghua Deng
Ling-yu Duan
24
8
0
07 Aug 2021
Emerging Properties in Self-Supervised Vision Transformers
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
317
5,785
0
29 Apr 2021
MixCo: Mix-up Contrastive Learning for Visual Representation
MixCo: Mix-up Contrastive Learning for Visual Representation
Sungnyun Kim
Gihun Lee
Sangmin Bae
Seyoung Yun
SSL
109
80
0
13 Oct 2020
Improved Baselines with Momentum Contrastive Learning
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
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
1