ResearchTrend.AI
  • Papers
  • Communities
  • Organizations
  • 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. 2108.02982
  4. Cited By
Improving Contrastive Learning by Visualizing Feature Transformation

Improving Contrastive Learning by Visualizing Feature Transformation

6 August 2021
Rui Zhu
Bingchen Zhao
Jingen Liu
Zhenglong Sun
Chen Chen
    SSL
ArXiv (abs)PDFHTMLGithub (90★)

Papers citing "Improving Contrastive Learning by Visualizing Feature Transformation"

43 / 43 papers shown
Title
CL-MVSNet: Unsupervised Multi-view Stereo with Dual-level Contrastive Learning
K. Xiong
Rui Peng
Zhe Zhang
Tianxing Feng
Jianbo Jiao
Feng Gao
Ronggang Wang
128
14
0
11 Mar 2025
Enhancing Contrastive Learning Inspired by the Philosophy of "The Blind Men and the Elephant"
Enhancing Contrastive Learning Inspired by the Philosophy of "The Blind Men and the Elephant"
Yudong Zhang
Ruobing Xie
Jiansheng Chen
Xingwu Sun
Zhanhui Kang
Yu Wang
210
0
0
21 Dec 2024
Feature Augmentation for Self-supervised Contrastive Learning: A Closer
  Look
Feature Augmentation for Self-supervised Contrastive Learning: A Closer Look
Yong Zhang
Rui Zhu
Shifeng Zhang
Xu Zhou
Shifeng Chen
Xiaofan Chen
SSL
74
0
0
16 Oct 2024
SimO Loss: Anchor-Free Contrastive Loss for Fine-Grained Supervised
  Contrastive Learning
SimO Loss: Anchor-Free Contrastive Loss for Fine-Grained Supervised Contrastive Learning
Taha Bouhsine
Imad El Aaroussi
Atik Faysal
Wang Huaxia
120
1
0
07 Oct 2024
Contrastive Learning with Synthetic Positives
Contrastive Learning with Synthetic Positives
Dewen Zeng
Yawen Wu
Xinrong Hu
Xiaowei Xu
Yiyu Shi
SyDaSSL
155
1
0
30 Aug 2024
Efficiency for Free: Ideal Data Are Transportable Representations
Efficiency for Free: Ideal Data Are Transportable Representations
Peng Sun
Yi Jiang
Tao Lin
DD
127
2
0
23 May 2024
Rethinking Samples Selection for Contrastive Learning: Mining of
  Potential Samples
Rethinking Samples Selection for Contrastive Learning: Mining of Potential Samples
Hengkui Dong
Xianzhong Long
Yun Li
146
2
0
01 Nov 2023
Understanding Contrastive Learning via Distributionally Robust
  Optimization
Understanding Contrastive Learning via Distributionally Robust Optimization
Junkang Wu
Jiawei Chen
Jiancan Wu
Wentao Shi
Xiang Wang
Xiangnan He
120
27
0
17 Oct 2023
Finding Order in Chaos: A Novel Data Augmentation Method for Time Series
  in Contrastive Learning
Finding Order in Chaos: A Novel Data Augmentation Method for Time Series in Contrastive Learning
B. U. Demirel
Christian Holz
AI4TS
95
22
0
23 Sep 2023
Towards Better Modeling with Missing Data: A Contrastive Learning-based
  Visual Analytics Perspective
Towards Better Modeling with Missing Data: A Contrastive Learning-based Visual Analytics Perspective
Laixin Xie
Ouyang Yang
Long-fei Chen
Ziming Wu
Quan Li
69
0
0
18 Sep 2023
Hallucination Improves the Performance of Unsupervised Visual
  Representation Learning
Hallucination Improves the Performance of Unsupervised Visual Representation Learning
Jing Wu
Jennifer Hobbs
N. Hovakimyan
SSL
99
20
0
22 Jul 2023
Additional Positive Enables Better Representation Learning for Medical
  Images
Additional Positive Enables Better Representation Learning for Medical Images
Dewen Zeng
Yawen Wu
Xinrong Hu
Xiaowei Xu
Jingtong Hu
Yiyu Shi
SSL
77
1
0
31 May 2023
Sample and Predict Your Latent: Modality-free Sequential Disentanglement
  via Contrastive Estimation
Sample and Predict Your Latent: Modality-free Sequential Disentanglement via Contrastive Estimation
Ilana D Naiman
Nimrod Berman
Omri Azencot
DRL
101
6
0
25 May 2023
Learning Semi-supervised Gaussian Mixture Models for Generalized
  Category Discovery
Learning Semi-supervised Gaussian Mixture Models for Generalized Category Discovery
Bingchen Zhao
Xin Wen
Kai Han
72
58
0
10 May 2023
Cross-Stream Contrastive Learning for Self-Supervised Skeleton-Based
  Action Recognition
Cross-Stream Contrastive Learning for Self-Supervised Skeleton-Based Action Recognition
Sergio Valcarcel Macua
Yongqiang Tang
Zhizhong Zhang
Wensheng Zhang
91
11
0
03 May 2023
OOD-CV-v2: An extended Benchmark for Robustness to Out-of-Distribution
  Shifts of Individual Nuisances in Natural Images
OOD-CV-v2: An extended Benchmark for Robustness to Out-of-Distribution Shifts of Individual Nuisances in Natural Images
Bingchen Zhao
Jiahao Wang
Wufei Ma
Artur Jesslen
Si-Jia Yang
Shaozuo Yu
O. Zendel
Christian Theobalt
Alan Yuille
Adam Kortylewski
99
10
0
17 Apr 2023
Boosting Video Object Segmentation via Space-time Correspondence
  Learning
Boosting Video Object Segmentation via Space-time Correspondence Learning
Yurong Zhang
Liulei Li
Wenguan Wang
Rong Xie
Li Song
Wenjun Zhang
VOS
65
33
0
13 Apr 2023
CoRTX: Contrastive Framework for Real-time Explanation
CoRTX: Contrastive Framework for Real-time Explanation
Yu-Neng Chuang
Guanchu Wang
Fan Yang
Quan-Gen Zhou
Pushkar Tripathi
Xuanting Cai
Helen Zhou
95
20
0
05 Mar 2023
CLR-GAM: Contrastive Point Cloud Learning with Guided Augmentation and
  Feature Mapping
CLR-GAM: Contrastive Point Cloud Learning with Guided Augmentation and Feature Mapping
Srikanth Malla
Yi-Ting Chen
3DPC
70
3
0
28 Feb 2023
Cluster-Level Contrastive Learning for Emotion Recognition in
  Conversations
Cluster-Level Contrastive Learning for Emotion Recognition in Conversations
Kailai Yang
Tianlin Zhang
Hassan Alhuzali
Sophia Ananiadou
94
44
0
07 Feb 2023
Vision Learners Meet Web Image-Text Pairs
Vision Learners Meet Web Image-Text Pairs
Bingchen Zhao
Quan Cui
Hao Wu
Osamu Yoshie
Cheng Yang
Oisin Mac Aodha
VLM
93
5
0
17 Jan 2023
A Survey on Self-supervised Learning: Algorithms, Applications, and
  Future Trends
A Survey on Self-supervised Learning: Algorithms, Applications, and Future Trends
Jie Gui
Tuo Chen
Jing Zhang
Qiong Cao
Zhe Sun
Haoran Luo
Dacheng Tao
244
161
0
13 Jan 2023
A Survey of Mix-based Data Augmentation: Taxonomy, Methods,
  Applications, and Explainability
A Survey of Mix-based Data Augmentation: Taxonomy, Methods, Applications, and Explainability
Chengtai Cao
Fan Zhou
Yurou Dai
Jianping Wang
Kunpeng Zhang
AAML
131
31
0
21 Dec 2022
Pose-disentangled Contrastive Learning for Self-supervised Facial
  Representation
Pose-disentangled Contrastive Learning for Self-supervised Facial Representation
Y. Liu
Wenbin Wang
Yibing Zhan
Shaoze Feng
Li-Yu Daisy Liu
Zhe Chen
SSL
71
13
0
24 Nov 2022
Information-guided pixel augmentation for pixel-wise contrastive
  learning
Information-guided pixel augmentation for pixel-wise contrastive learning
Quan Quan
Qingsong Yao
Jun Li
S.Kevin Zhou
SSL
82
5
0
14 Nov 2022
Beyond Instance Discrimination: Relation-aware Contrastive
  Self-supervised Learning
Beyond Instance Discrimination: Relation-aware Contrastive Self-supervised Learning
Yifei Zhang
Chang-rui Liu
Yu Zhou
Weiping Wang
QiXiang Ye
Xiangyang Ji
SSLISegBDL
93
7
0
02 Nov 2022
I'm Me, We're Us, and I'm Us: Tri-directional Contrastive Learning on
  Hypergraphs
I'm Me, We're Us, and I'm Us: Tri-directional Contrastive Learning on Hypergraphs
Dongjin Lee
Kijung Shin
83
39
0
09 Jun 2022
Hard Negative Sampling Strategies for Contrastive Representation
  Learning
Hard Negative Sampling Strategies for Contrastive Representation Learning
Afrina Tabassum
Muntasir Wahed
Hoda Eldardiry
Ismini Lourentzou
SSL
109
25
0
02 Jun 2022
Self-Supervised Visual Representation Learning with Semantic Grouping
Self-Supervised Visual Representation Learning with Semantic Grouping
Xin Wen
Bingchen Zhao
Anlin Zheng
Xinming Zhang
Xiaojuan Qi
SSL
235
74
0
30 May 2022
Real-centric Consistency Learning for Deepfake Detection
Real-centric Consistency Learning for Deepfake Detection
Ruiqi Zha
Z. Lian
Qianmu Li
Siqi Gu
48
1
0
15 May 2022
Dual Temperature Helps Contrastive Learning Without Many Negative
  Samples: Towards Understanding and Simplifying MoCo
Dual Temperature Helps Contrastive Learning Without Many Negative Samples: Towards Understanding and Simplifying MoCo
Chaoning Zhang
Kang Zhang
T. Pham
Axi Niu
Zhinan Qiao
Chang D. Yoo
In So Kweon
119
57
0
30 Mar 2022
Alignment-Uniformity aware Representation Learning for Zero-shot Video
  Classification
Alignment-Uniformity aware Representation Learning for Zero-shot Video Classification
Shi Pu
Kaili Zhao
Mao Zheng
VLM
76
20
0
29 Mar 2022
SIOD: Single Instance Annotated Per Category Per Image for Object
  Detection
SIOD: Single Instance Annotated Per Category Per Image for Object Detection
Hanjun Li
Xingjia Pan
Ke Yan
Fan Tang
Weihao Zheng
78
18
0
29 Mar 2022
Geodesic Multi-Modal Mixup for Robust Fine-Tuning
Geodesic Multi-Modal Mixup for Robust Fine-Tuning
Changdae Oh
Junhyuk So
Hoyoon Byun
Yongtaek Lim
Minchul Shin
Jong-June Jeon
Kyungwoo Song
139
30
0
08 Mar 2022
Discriminability-Transferability Trade-Off: An Information-Theoretic
  Perspective
Discriminability-Transferability Trade-Off: An Information-Theoretic Perspective
Quan Cui
Bingchen Zhao
Zhao-Min Chen
Borui Zhao
Renjie Song
Jiajun Liang
Boyan Zhou
Osamu Yoshie
112
18
0
08 Mar 2022
CrossPoint: Self-Supervised Cross-Modal Contrastive Learning for 3D
  Point Cloud Understanding
CrossPoint: Self-Supervised Cross-Modal Contrastive Learning for 3D Point Cloud Understanding
Mohamed Afham
Isuru Dissanayake
Dinithi Dissanayake
Amaya Dharmasiri
Kanchana Thilakarathna
Ranga Rodrigo
3DPC
118
264
0
01 Mar 2022
Crafting Better Contrastive Views for Siamese Representation Learning
Crafting Better Contrastive Views for Siamese Representation Learning
Xiang Peng
Kai Wang
Zheng Hua Zhu
Mang Wang
Yang You
SSL
95
105
0
07 Feb 2022
Generalizing similarity in noisy setups: the DIBS phenomenon
Generalizing similarity in noisy setups: the DIBS phenomenon
Nayara Fonseca
V. Guidetti
75
0
0
30 Jan 2022
Exploring the Equivalence of Siamese Self-Supervised Learning via A
  Unified Gradient Framework
Exploring the Equivalence of Siamese Self-Supervised Learning via A Unified Gradient Framework
Chenxin Tao
Honghui Wang
Xizhou Zhu
Jiahua Dong
S. Song
Gao Huang
Jifeng Dai
SSL
94
61
0
09 Dec 2021
OOD-CV: A Benchmark for Robustness to Out-of-Distribution Shifts of
  Individual Nuisances in Natural Images
OOD-CV: A Benchmark for Robustness to Out-of-Distribution Shifts of Individual Nuisances in Natural Images
Bingchen Zhao
Shaozuo Yu
Wufei Ma
M. Yu
Shenxiao Mei
Angtian Wang
Ju He
Alan Yuille
Adam Kortylewski
75
53
0
29 Nov 2021
Contrastive Object-level Pre-training with Spatial Noise Curriculum
  Learning
Contrastive Object-level Pre-training with Spatial Noise Curriculum Learning
Chenhongyi Yang
Lichao Huang
Elliot J. Crowley
SSLVLM
64
6
0
26 Nov 2021
Survey: Image Mixing and Deleting for Data Augmentation
Survey: Image Mixing and Deleting for Data Augmentation
Humza Naveed
Saeed Anwar
Munawar Hayat
Kashif Javed
Ajmal Mian
134
86
0
13 Jun 2021
Unsupervised Learning of Visual Features by Contrasting Cluster
  Assignments
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments
Mathilde Caron
Ishan Misra
Julien Mairal
Priya Goyal
Piotr Bojanowski
Armand Joulin
OCLSSL
384
4,115
0
17 Jun 2020
1