MixCo: Mix-up Contrastive Learning for Visual Representation

13 October 2020

Papers citing "MixCo: Mix-up Contrastive Learning for Visual Representation"

50 / 52 papers shown

Title
A Unified and Scalable Membership Inference Method for Visual Self-supervised Encoder via Part-aware Capability Jie Zhu Jirong Zha Ding Li Leye Wang 31 0 0 15 May 2025
NeuroClips: Towards High-fidelity and Smooth fMRI-to-Video Reconstruction Z. Gong Guangyin Bao Qi Zhang Zhongwei Wan Duoqian Miao ... Changwei Wang Rongtao Xu Liang Hu Ke Liu Yu Zhang DiffM VGen 53 8 0 25 Oct 2024
Harnessing Shared Relations via Multimodal Mixup Contrastive Learning for Multimodal Classification Raja Kumar Raghav Singhal Pranamya Kulkarni Deval Mehta Kshitij Jadhav 20 0 0 26 Sep 2024
Deep-Wide Learning Assistance for Insect Pest Classification Toan Nguyen Huy Nguyen Huy Ung Hieu T. Ung Binh T. Nguyen 19 0 0 16 Sep 2024
Contrastive Learning with Synthetic Positives Dewen Zeng Yawen Wu Xinrong Hu Xiaowei Xu Yiyu Shi SyDa SSL 51 1 0 30 Aug 2024
CroMo-Mixup: Augmenting Cross-Model Representations for Continual Self-Supervised Learning Erum Mushtaq D. Yaldiz Yavuz Faruk Bakman Jie Ding Chenyang Tao Dimitrios Dimitriadis A. Avestimehr CLL 34 1 0 16 Jul 2024
WV-Net: A foundation model for SAR WV-mode satellite imagery trained using contrastive self-supervised learning on 10 million images Yannik Glaser J. Stopa Linnea M. Wolniewicz Ralph Foster Doug Vandemark A. Mouche Bertrand Chapron Peter Sadowski 25 1 0 26 Jun 2024
Understanding Hyperbolic Metric Learning through Hard Negative Sampling Yun Yue Fangzhou Lin Guanyi Mou Ziming Zhang SSL 30 1 0 23 Apr 2024
MindTuner: Cross-Subject Visual Decoding with Visual Fingerprint and Semantic Correction Zixuan Gong Qi Zhang Guangyin Bao Lei Zhu Ke Liu Liang Hu Duoqian Miao 44 9 0 19 Apr 2024
A Unified Membership Inference Method for Visual Self-supervised Encoder via Part-aware Capability Jie Zhu Jirong Zha Ding Li Leye Wang 37 6 0 03 Apr 2024
MindEye2: Shared-Subject Models Enable fMRI-To-Image With 1 Hour of Data Paul S. Scotti Mihir Tripathy Cesar Kadir Torrico Villanueva Reese Kneeland Tong Chen ... Charan Santhirasegaran Jonathan Xu Thomas Naselaris Kenneth A. Norman Tanishq Mathew Abraham 40 35 0 17 Mar 2024
NeuralDiffuser: Neuroscience-inspired Diffusion Guidance for fMRI Visual Reconstruction Haoyu Li Hao Wu Badong Chen 37 2 0 21 Feb 2024
CNG-SFDA: Clean-and-Noisy Region Guided Online-Offline Source-Free Domain Adaptation Hyeonwoo Cho Chanmin Park Donghee Kim Jinyoung Kim Won Hwa Kim TTA 26 0 0 26 Jan 2024
Guarding Barlow Twins Against Overfitting with Mixed Samples W. G. C. Bandara C. D. Melo Vishal M. Patel SSL 34 11 0 04 Dec 2023
MNN: Mixed Nearest-Neighbors for Self-Supervised Learning Xianzhong Long Chen Peng Yun Li SSL 33 0 0 01 Nov 2023
Rethinking Samples Selection for Contrastive Learning: Mining of Potential Samples Hengkui Dong Xianzhong Long Yun Li 34 2 0 01 Nov 2023
DREAM: Visual Decoding from Reversing Human Visual System Weihao Xia Raoul de Charette Cengiz Öztireli Jing-Hao Xue 19 30 0 03 Oct 2023
Finding Order in Chaos: A Novel Data Augmentation Method for Time Series in Contrastive Learning B. U. Demirel Christian Holz AI4TS 24 18 0 23 Sep 2023
Representation Synthesis by Probabilistic Many-Valued Logic Operation in Self-Supervised Learning Hiroki Nakamura Masashi Okada T. Taniguchi SSL NAI 25 0 0 08 Sep 2023
Self-Supervised Representation Learning with Cross-Context Learning between Global and Hypercolumn Features Zheng Gao Chen Feng Ioannis Patras SSL 12 3 0 25 Aug 2023
Prompted Contrast with Masked Motion Modeling: Towards Versatile 3D Action Representation Learning Jiahang Zhang Lilang Lin Jiaying Liu SSL 18 15 0 08 Aug 2023
Reconstructing the Mind's Eye: fMRI-to-Image with Contrastive Learning and Diffusion Priors Paul S. Scotti Atmadeep Banerjee J. Goode Stepan Shabalin A. Nguyen ... Nathalie Verlinde Elad Yundler David Weisberg K. A. Norman Tanishq Mathew Abraham DiffM 36 106 0 29 May 2023
Patch-Mix Contrastive Learning with Audio Spectrogram Transformer on Respiratory Sound Classification Sangmin Bae June-Woo Kim Won-Yang Cho Hyerim Baek Soyoun Son B. Lee C. Ha Kyongpil Tae Sungnyun Kim Se-Young Yun 15 28 0 23 May 2023
A Survey of Mix-based Data Augmentation: Taxonomy, Methods, Applications, and Explainability Chengtai Cao Fan Zhou Yurou Dai Jianping Wang Kunpeng Zhang AAML 18 27 0 21 Dec 2022
Contrastive Learning Reduces Hallucination in Conversations Weiwei Sun Zhengliang Shi Shen Gao Pengjie Ren Maarten de Rijke Z. Ren 31 62 0 20 Dec 2022
MEDIAR: Harmony of Data-Centric and Model-Centric for Multi-Modality Microscopy Gihun Lee Sangmook Kim Joonkee Kim Se-Young Yun MedIm 17 18 0 07 Dec 2022
Information-guided pixel augmentation for pixel-wise contrastive learning Quan Quan Qingsong Yao Jun Li S.Kevin Zhou SSL 23 5 0 14 Nov 2022
Beyond Instance Discrimination: Relation-aware Contrastive Self-supervised Learning Yifei Zhang Chang-rui Liu Yu Zhou Weiping Wang QiXiang Ye Xiangyang Ji SSL ISeg BDL 19 6 0 02 Nov 2022
Synergy with Translation Artifacts for Training and Inference in Multilingual Tasks Jaehoon Oh Jongwoo Ko Se-Young Yun 42 9 0 18 Oct 2022
A Unified Analysis of Mixed Sample Data Augmentation: A Loss Function Perspective Chanwoo Park Sangdoo Yun Sanghyuk Chun AAML 18 32 0 21 Aug 2022
Brain-Aware Replacements for Supervised Contrastive Learning in Detection of Alzheimer's Disease Mehmet Saygin Seyfiouglu Zixuan Liu Pranav Kamath Sadjyot Gangolli Sheng Wang T. Grabowski Linda G. Shapiro MedIm 16 14 0 11 Jul 2022
Contrastive Learning from Spatio-Temporal Mixed Skeleton Sequences for Self-Supervised Skeleton-Based Action Recognition Zhan Chen Hong Liu Tianyu Guo Zhengyang Chen Pinhao Song Haoling Tang SSL 25 18 0 07 Jul 2022
A Simple Data Mixing Prior for Improving Self-Supervised Learning Sucheng Ren Huiyu Wang Zhengqi Gao Shengfeng He Alan Yuille Yuyin Zhou Cihang Xie 18 35 0 15 Jun 2022
Hard Negative Sampling Strategies for Contrastive Representation Learning Afrina Tabassum Muntasir Wahed Hoda Eldardiry Ismini Lourentzou SSL 25 24 0 02 Jun 2022
Generalized Supervised Contrastive Learning Jaewon Kim Hyuk-Gi Lee Jooyoung Chang S. Park SSL AILaw 21 1 0 01 Jun 2022
Convex Combination Consistency between Neighbors for Weakly-supervised Action Localization Qinying Liu Zilei Wang Ruoxi Chen Zhilin Li 11 4 0 01 May 2022
Universum-inspired Supervised Contrastive Learning Aiyang Han Chuanxing Geng Songcan Chen SSL 23 3 0 22 Apr 2022
Mix-up Self-Supervised Learning for Contrast-agnostic Applications Yichen Zhang Yifang Yin Ying Zhang Roger Zimmermann SSL 14 4 0 02 Apr 2022
MixSiam: A Mixture-based Approach to Self-supervised Representation Learning Xiaoyang Guo Tianhao Zhao Yutian Lin Bo Du SSL 20 6 0 04 Nov 2021
Improving Tail-Class Representation with Centroid Contrastive Learning A. M. H. Tiong Junnan Li Guosheng Lin Boyang Albert Li Caiming Xiong S. Hoi VLM 28 13 0 19 Oct 2021
Representational Continuity for Unsupervised Continual Learning Divyam Madaan Jaehong Yoon Yuanchun Li Yunxin Liu Sung Ju Hwang CLL SSL 66 111 0 13 Oct 2021
Motion-aware Contrastive Video Representation Learning via Foreground-background Merging Shuangrui Ding Maomao Li Tianyu Yang Rui Qian Haohang Xu Qingyi Chen Jue Wang Hongkai Xiong SSL 21 49 0 30 Sep 2021
Improving Contrastive Learning by Visualizing Feature Transformation Rui Zhu Bingchen Zhao Jingen Liu Zhenglong Sun C. L. P. Chen SSL 96 78 0 06 Aug 2021
Self-Contrastive Learning: Single-viewed Supervised Contrastive Framework using Sub-network Sangmin Bae Sungnyun Kim Jongwoo Ko Gihun Lee SeungJong Noh Se-Young Yun SSL 21 6 0 29 Jun 2021
A Theory-Driven Self-Labeling Refinement Method for Contrastive Representation Learning Pan Zhou Caiming Xiong Xiaotong Yuan S. Hoi SSL 14 12 0 28 Jun 2021
It Takes Two to Tango: Mixup for Deep Metric Learning Shashanka Venkataramanan Bill Psomas Ewa Kijak Laurent Amsaleg Konstantinos Karantzalos Yannis Avrithis 15 25 0 09 Jun 2021
Constructing Contrastive samples via Summarization for Text Classification with limited annotations Yangkai Du Tengfei Ma Lingfei Wu Fangli Xu Xuhong Zhang Bo Long S. Ji 13 10 0 11 Apr 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 71 64 0 12 Feb 2021
Towards Domain-Agnostic Contrastive Learning Vikas Verma Minh-Thang Luong Kenji Kawaguchi Hieu H. Pham Quoc V. Le SSL 15 115 0 09 Nov 2020
Un-Mix: Rethinking Image Mixtures for Unsupervised Visual Representation Learning Zhiqiang Shen Zechun Liu Zhuang Liu Marios Savvides Trevor Darrell Eric P. Xing OCL SSL 21 103 0 11 Mar 2020