Multi-Label Image Classification with Contrastive Learning

24 July 2021

Jianfei Cai

Papers citing "Multi-Label Image Classification with Contrastive Learning"

34 / 34 papers shown

Title
Multi-level Supervised Contrastive Learning Naghmeh Ghanooni Barbod Pajoum Harshit Rawal Sophie Fellenz Vo Nguyen Le Duy Marius Kloft 140 0 0 04 Feb 2025
Learning Transferable Visual Models From Natural Language Supervision Alec Radford Jong Wook Kim Chris Hallacy Aditya A. Ramesh Gabriel Goh ... Amanda Askell Pamela Mishkin Jack Clark Gretchen Krueger Ilya Sutskever CLIP VLM 671 28,659 0 26 Feb 2021
Exploring Cross-Image Pixel Contrast for Semantic Segmentation Wenguan Wang Tianfei Zhou Feng Yu Jifeng Dai E. Konukoglu Luc Van Gool 114 475 0 28 Jan 2021
Attention-Driven Dynamic Graph Convolutional Network for Multi-Label Image Recognition Jin Ye Junjun He Xiaojiang Peng Wenhao Wu Yu Qiao 27 187 0 05 Dec 2020
Asymmetric Loss For Multi-Label Classification Emanuel Ben-Baruch T. Ridnik Nadav Zamir Asaf Noy Itamar Friedman M. Protter Lihi Zelnik-Manor 74 528 0 29 Sep 2020
Adversarial Self-Supervised Contrastive Learning Minseon Kim Jihoon Tack Sung Ju Hwang SSL 49 249 0 13 Jun 2020
Prototypical Contrastive Learning of Unsupervised Representations Junnan Li Pan Zhou Caiming Xiong Guosheng Lin SSL DRL 113 970 0 11 May 2020
Supervised Contrastive Learning Prannay Khosla Piotr Teterwak Chen Wang Aaron Sarna Yonglong Tian Phillip Isola Aaron Maschinot Ce Liu Dilip Krishnan SSL 118 4,505 0 23 Apr 2020
A Simple Framework for Contrastive Learning of Visual Representations Ting-Li Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton SSL 208 18,607 0 13 Feb 2020
Cross-Modality Attention with Semantic Graph Embedding for Multi-Label Classification Renchun You Zhiyao Guo Lei Cui Xiang Long Sid Ying-Ze Bao Shilei Wen 41 184 0 17 Dec 2019
Momentum Contrast for Unsupervised Visual Representation Learning Kaiming He Haoqi Fan Yuxin Wu Saining Xie Ross B. Girshick SSL 109 12,007 0 13 Nov 2019
RandAugment: Practical automated data augmentation with a reduced search space E. D. Cubuk Barret Zoph Jonathon Shlens Quoc V. Le MQ 183 3,458 0 30 Sep 2019
Learning Semantic-Specific Graph Representation for Multi-Label Image Recognition Tianshui Chen Muxi Xu X. Hui Hefeng Wu Liang Lin 38 288 0 20 Aug 2019
Learning Representations by Maximizing Mutual Information Across Views Philip Bachman R. Devon Hjelm William Buchwalter SSL 151 1,463 0 03 Jun 2019
Multi-Label Image Recognition with Graph Convolutional Networks Zhao-Min Chen Xiu-Shen Wei Peng Wang Yanwen Guo 59 998 0 07 Apr 2019
Graph Neural Networks: A Review of Methods and Applications Jie Zhou Ganqu Cui Shengding Hu Zhengyan Zhang Cheng Yang Zhiyuan Liu Lifeng Wang Changcheng Li Maosong Sun AI4CE GNN 556 5,457 0 20 Dec 2018
Multi-Label Image Classification via Knowledge Distillation from Weakly-Supervised Detection Yongcheng Liu Lu Sheng Jing Shao Junjie Yan Shiming Xiang Chunhong Pan WSOD VLM 38 114 0 16 Sep 2018
Learning deep representations by mutual information estimation and maximization R. Devon Hjelm A. Fedorov Samuel Lavoie-Marchildon Karan Grewal Phil Bachman Adam Trischler Yoshua Bengio SSL DRL 242 2,649 0 20 Aug 2018
Chest X-rays Classification: A Multi-Label and Fine-Grained Problem Z. Ge Dwarikanath Mahapatra S. Sedai R. Garnavi R. Chakravorty 49 50 0 19 Jul 2018
Representation Learning with Contrastive Predictive Coding Aaron van den Oord Yazhe Li Oriol Vinyals DRL SSL 222 10,152 0 10 Jul 2018
Recurrent Attentional Reinforcement Learning for Multi-label Image Recognition Tianshui Chen Zhouxia Wang Guanbin Li Liang Lin 32 151 0 20 Dec 2017
Multi-label Image Recognition by Recurrently Discovering Attentional Regions Zhouxia Wang Tianshui Chen Guanbin Li Ruijia Xu Liang Lin 51 290 0 08 Nov 2017
Order-Free RNN with Visual Attention for Multi-Label Classification Shang-Fu Chen Yi-Chen Chen Chih-Kuan Yeh Y. Wang 64 143 0 18 Jul 2017
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 435 129,831 0 12 Jun 2017
Learning Spatial Regularization with Image-level Supervisions for Multi-label Image Classification Feng Zhu Hongsheng Li Wanli Ouyang Nenghai Yu Xiaogang Wang 55 337 0 20 Feb 2017
Paying More Attention to Attention: Improving the Performance of Convolutional Neural Networks via Attention Transfer Sergey Zagoruyko N. Komodakis 99 2,561 0 12 Dec 2016
Semantic Regularisation for Recurrent Image Annotation Feng Liu Tao Xiang Timothy M. Hospedales Wankou Yang Changyin Sun 46 103 0 16 Nov 2016
Improving Multi-label Learning with Missing Labels by Structured Semantic Correlations Hao Yang Qiufeng Wang Jianfei Cai 40 67 0 04 Aug 2016
CNN-RNN: A Unified Framework for Multi-label Image Classification Jiang Wang Yi Yang Junhua Mao Zhiheng Huang Chang Huang Wenyuan Xu SSL 54 1,162 0 15 Apr 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.4K 192,638 0 10 Dec 2015
Show, Attend and Tell: Neural Image Caption Generation with Visual Attention Ke Xu Jimmy Ba Ryan Kiros Kyunghyun Cho Aaron Courville Ruslan Salakhutdinov R. Zemel Yoshua Bengio DiffM 279 10,034 0 10 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 806 149,474 0 22 Dec 2014
FitNets: Hints for Thin Deep Nets Adriana Romero Nicolas Ballas Samira Ebrahimi Kahou Antoine Chassang C. Gatta Yoshua Bengio FedML 236 3,862 0 19 Dec 2014
Microsoft COCO: Common Objects in Context Nayeon Lee Michael Maire Serge J. Belongie Lubomir Bourdev Ross B. Girshick James Hays Pietro Perona Deva Ramanan C. L. Zitnick Piotr Dollár ObjD 244 43,290 0 01 May 2014