Seeing through the Human Reporting Bias: Visual Classifiers from Noisy Human-Centric Labels

22 December 2015

Papers citing "Seeing through the Human Reporting Bias: Visual Classifiers from Noisy Human-Centric Labels"

48 / 48 papers shown

Title
Rethinking Prompting Strategies for Multi-Label Recognition with Partial Annotations Samyak Rawlekar Shubhang Bhatnagar Narendra Ahuja VLM 31 1 0 12 Sep 2024
Improving Multi-label Recognition using Class Co-Occurrence Probabilities Samyak Rawlekar Shubhang Bhatnagar Vishnuvardhan Pogunulu Srinivasulu Narendra Ahuja VLM 40 5 0 24 Apr 2024
Fairness in Visual Clustering: A Novel Transformer Clustering Approach Xuan-Bac Nguyen C. Duong Marios Savvides Kaushik Roy Hugh Churchill Khoa Luu 37 9 0 14 Apr 2023
Taking A Closer Look at Visual Relation: Unbiased Video Scene Graph Generation with Decoupled Label Learning Wenqing Wang Yawei Luo Zhiqin Chen Tao Jiang Lei Chen Yi Yang Jun Xiao 35 7 0 23 Mar 2023
Latent Class-Conditional Noise Model Jiangchao Yao Bo Han Zhihan Zhou Ya Zhang Ivor W. Tsang NoLa BDL 33 8 0 19 Feb 2023
A Friendly Face: Do Text-to-Image Systems Rely on Stereotypes when the Input is Under-Specified? Kathleen C. Fraser S. Kiritchenko I. Nejadgholi DiffM 35 36 0 14 Feb 2023
Skew Class-balanced Re-weighting for Unbiased Scene Graph Generation Haeyong Kang Chang D. Yoo 37 6 0 01 Jan 2023
Underspecification in Scene Description-to-Depiction Tasks Ben Hutchinson Jason Baldridge Vinodkumar Prabhakaran DiffM 74 32 0 11 Oct 2022
FairGRAPE: Fairness-aware GRAdient Pruning mEthod for Face Attribute Classification Xiao-Ze Lin Seungbae Kim Jungseock Joo CVBM 37 38 0 22 Jul 2022
On Non-Random Missing Labels in Semi-Supervised Learning Xinting Hu Yulei Niu Chunyan Miao Xiansheng Hua Hanwang Zhang 34 18 0 29 Jun 2022
DualCoOp: Fast Adaptation to Multi-Label Recognition with Limited Annotations Ximeng Sun Ping Hu Kate Saenko VLM 36 120 0 20 Jun 2022
Semantic Clustering based Deduction Learning for Image Recognition and Classification Wenchi Ma Xuemin Tu Bo Luo Guanghui Wang 36 29 0 25 Dec 2021
Not All Relations are Equal: Mining Informative Labels for Scene Graph Generation A. Goel Basura Fernando Frank Keller Hakan Bilen 30 30 0 26 Nov 2021
Transparent Human Evaluation for Image Captioning Jungo Kasai Keisuke Sakaguchi Lavinia Dunagan Jacob Morrison Ronan Le Bras Yejin Choi Noah A. Smith 33 47 0 17 Nov 2021
Multi-label Classification with Partial Annotations using Class-aware Selective Loss Emanuel Ben-Baruch T. Ridnik Itamar Friedman Avi Ben-Cohen Nadav Zamir Asaf Noy Lihi Zelnik-Manor 34 38 0 21 Oct 2021
Breaking the Dilemma of Medical Image-to-image Translation Lingke Kong Chenyu Lian Detian Huang Zhenjiang Li Yanle Hu Qichao Zhou GAN MedIm 58 138 0 13 Oct 2021
DeepMCAT: Large-Scale Deep Clustering for Medical Image Categorization Turkay Kart Wenjia Bai Ben Glocker Daniel Rueckert 46 11 0 30 Sep 2021
PASS: An ImageNet replacement for self-supervised pretraining without humans Yuki M. Asano Christian Rupprecht Andrew Zisserman Andrea Vedaldi VLM SSL 21 57 0 27 Sep 2021
A Study of the Generalizability of Self-Supervised Representations Atharva Tendle Mohammad Rashedul Hasan 76 27 0 19 Sep 2021
Rethinking Crowdsourcing Annotation: Partial Annotation with Salient Labels for Multi-Label Image Classification Jianzhe Lin Tianze Yu Z. J. Wang 24 10 0 06 Sep 2021
Recovering the Unbiased Scene Graphs from the Biased Ones Meng-Jiun Chiou Henghui Ding Hanshu Yan Changhu Wang Roger Zimmermann Jiashi Feng 55 113 0 05 Jul 2021
Linguistic Structures as Weak Supervision for Visual Scene Graph Generation Keren Ye Adriana Kovashka 29 52 0 28 May 2021
A Survey of Label-noise Representation Learning: Past, Present and Future Bo Han Quanming Yao Tongliang Liu Gang Niu Ivor W. Tsang James T. Kwok Masashi Sugiyama NoLa 24 158 0 09 Nov 2020
CogTree: Cognition Tree Loss for Unbiased Scene Graph Generation Jiahao Yu Yuan Chai Yujing Wang Yue Hu Qi Wu CML 38 111 0 16 Sep 2020
Multi-agent Communication meets Natural Language: Synergies between Functional and Structural Language Learning Angeliki Lazaridou Anna Potapenko O. Tieleman LLMAG 33 96 0 14 May 2020
To Test Machine Comprehension, Start by Defining Comprehension Jesse Dunietz Greg Burnham Akash Bharadwaj Owen Rambow Jennifer Chu-Carroll D. Ferrucci FaML 54 65 0 04 May 2020
Unbiased Scene Graph Generation from Biased Training Kaihua Tang Yulei Niu Jianqiang Huang Jiaxin Shi Hanwang Zhang CML 22 680 0 27 Feb 2020
Deep learning with noisy labels: exploring techniques and remedies in medical image analysis Davood Karimi Haoran Dou Simon K. Warfield Ali Gholipour NoLa 24 535 0 05 Dec 2019
Cap2Det: Learning to Amplify Weak Caption Supervision for Object Detection Keren Ye Ruotong Wang Adriana Kovashka Wei Li Danfeng Qin Jesse Berent 25 60 0 23 Jul 2019
RUBi: Reducing Unimodal Biases in Visual Question Answering Rémi Cadène Corentin Dancette H. Ben-younes Matthieu Cord Devi Parikh CML 19 369 0 24 Jun 2019
Mitigating Gender Bias in Natural Language Processing: Literature Review Tony Sun Andrew Gaut Shirlyn Tang Yuxin Huang Mai Elsherief Jieyu Zhao Diba Mirza E. Belding-Royer Kai-Wei Chang William Yang Wang AI4CE 47 542 0 21 Jun 2019
Wasserstein Adversarial Regularization (WAR) on label noise Kilian Fatras B. Bushan Sylvain Lobry Rémi Flamary D. Tuia Nicolas Courty 19 24 0 08 Apr 2019
A Robust Learning Approach to Domain Adaptive Object Detection Mehran Khodabandeh Arash Vahdat Mani Ranjbar W. Macready ObjD OOD TTA 16 245 0 04 Apr 2019
An Effective Label Noise Model for DNN Text Classification Ishan Jindal Daniel Pressel Brian Lester M. Nokleby NoLa 32 48 0 18 Mar 2019
Evaluating Text-to-Image Matching using Binary Image Selection (BISON) Hexiang Hu Ishan Misra L. V. D. van der Maaten 24 22 0 19 Jan 2019
Balanced Datasets Are Not Enough: Estimating and Mitigating Gender Bias in Deep Image Representations Tianlu Wang Jieyu Zhao Mark Yatskar Kai-Wei Chang Vicente Ordonez FaML 28 17 0 20 Nov 2018
Improving Distantly Supervised Relation Extraction with Neural Noise Converter and Conditional Optimal Selector Shanchan Wu Kai Fan Qiong Zhang 13 34 0 14 Nov 2018
CurriculumNet: Weakly Supervised Learning from Large-Scale Web Images Sheng Guo Weilin Huang Haozhi Zhang Chenfan Zhuang Dengke Dong Matthew R. Scott Dinglong Huang SSL 32 339 0 03 Aug 2018
Robot Learning in Homes: Improving Generalization and Reducing Dataset Bias Abhinav Gupta Adithyavairavan Murali Dhiraj Gandhi Lerrel Pinto 11 152 0 18 Jul 2018
Women also Snowboard: Overcoming Bias in Captioning Models (Extended Abstract) Lisa Anne Hendricks Kaylee Burns Kate Saenko Trevor Darrell Anna Rohrbach 39 478 0 02 Jul 2018
Exploring the Limits of Weakly Supervised Pretraining D. Mahajan Ross B. Girshick Vignesh Ramanathan Kaiming He Manohar Paluri Yixuan Li Ashwin R. Bharambe L. V. D. van der Maaten VLM 92 1,356 0 02 May 2018
Learning with Biased Complementary Labels Xiyu Yu Tongliang Liu Biwei Huang Dacheng Tao 26 193 0 27 Nov 2017
Deep Learning is Robust to Massive Label Noise David Rolnick Andreas Veit Serge J. Belongie Nir Shavit NoLa 36 548 0 30 May 2017
Learning with Noise: Enhance Distantly Supervised Relation Extraction with Dynamic Transition Matrix Bingfeng Luo Yansong Feng Zheng Wang Zhanxing Zhu Songfang Huang Rui Yan Dongyan Zhao 36 86 0 11 May 2017
BAM! The Behance Artistic Media Dataset for Recognition Beyond Photography Michael J. Wilber Chen Fang Hailin Jin Aaron Hertzmann John Collomosse Serge J. Belongie 28 136 0 27 Apr 2017
Learning From Noisy Large-Scale Datasets With Minimal Supervision Andreas Veit N. Alldrin Gal Chechik Ivan Krasin Abhinav Gupta Serge J. Belongie 34 476 0 06 Jan 2017
The More You Know: Using Knowledge Graphs for Image Classification Kenneth Marino Ruslan Salakhutdinov Abhinav Gupta GNN OCL 41 345 0 14 Dec 2016
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization Ramprasaath R. Selvaraju Michael Cogswell Abhishek Das Ramakrishna Vedantam Devi Parikh Dhruv Batra FAtt 50 19,576 0 07 Oct 2016