The Unreasonable Effectiveness of Noisy Data for Fine-Grained Recognition

20 November 2015

Papers citing "The Unreasonable Effectiveness of Noisy Data for Fine-Grained Recognition"

23 / 73 papers shown

Title
Learning from Noisy Web Data with Category-level Supervision Li Niu Qingtao Tang Ashok Veeraraghavan A. Sabharwal NoLa 30 32 0 10 Mar 2018
Combining Weakly and Webly Supervised Learning for Classifying Food Images Parneet Kaur Karan Sikka Ajay Divakaran 22 22 0 23 Dec 2017
Learning From Noisy Singly-labeled Data A. Khetan Zachary Chase Lipton Anima Anandkumar NoLa 16 160 0 13 Dec 2017
Active Learning for Visual Question Answering: An Empirical Study Xiaoyu Lin Devi Parikh 49 31 0 06 Nov 2017
Rethinking generalization requires revisiting old ideas: statistical mechanics approaches and complex learning behavior Charles H. Martin Michael W. Mahoney AI4CE 30 63 0 26 Oct 2017
Scalable Annotation of Fine-Grained Categories Without Experts Timnit Gebru J. Krause Jia Deng Li Fei-Fei 6 19 0 07 Sep 2017
The Devil is in the Tails: Fine-grained Classification in the Wild Grant Van Horn Pietro Perona VLM 34 205 0 05 Sep 2017
Joint Multi-Person Pose Estimation and Semantic Part Segmentation Fangting Xia Peng Wang Xianjie Chen Alan Yuille 28 214 0 10 Aug 2017
Attention Transfer from Web Images for Video Recognition Junnan Li Yongkang Wong Qi Zhao Mohan Kankanhalli 31 45 0 03 Aug 2017
Deep Learning is Robust to Massive Label Noise David Rolnick Andreas Veit Serge J. Belongie Nir Shavit NoLa 36 550 0 30 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
Dynamic Computational Time for Visual Attention Zhichao Li Yi Yang Xiao-Chang Liu Feng Zhou Shilei Wen Wenyuan Xu 41 113 0 30 Mar 2017
Weakly Supervised Semantic Segmentation using Web-Crawled Videos Seunghoon Hong Donghun Yeo Suha Kwak Honglak Lee Bohyung Han 41 158 0 02 Jan 2017
Active and Continuous Exploration with Deep Neural Networks and Expected Model Output Changes Christoph Käding E. Rodner Alexander Freytag Joachim Denzler VLM BDL CLL 19 61 0 19 Dec 2016
Guided Open Vocabulary Image Captioning with Constrained Beam Search Peter Anderson Basura Fernando Mark Johnson Stephen Gould 23 232 0 02 Dec 2016
Attend in groups: a weakly-supervised deep learning framework for learning from web data Bohan Zhuang Lingqiao Liu Yao Li Chunhua Shen Ian Reid NoLa 24 89 0 30 Nov 2016
Learning a Discriminative Filter Bank within a CNN for Fine-grained Recognition Yaming Wang Vlad I. Morariu L. Davis 32 10 0 29 Nov 2016
Low-rank Bilinear Pooling for Fine-Grained Classification Shu Kong Charless C. Fowlkes 44 344 0 16 Nov 2016
Making Deep Neural Networks Robust to Label Noise: a Loss Correction Approach Giorgio Patrini A. Rozza A. Menon Richard Nock Lizhen Qu NoLa 51 1,437 0 13 Sep 2016
Localizing by Describing: Attribute-Guided Attention Localization for Fine-Grained Recognition Xiao-Chang Liu Jiang Wang Shilei Wen Errui Ding Yuanqing Lin 13 76 0 20 May 2016
Fully Convolutional Attention Networks for Fine-Grained Recognition Xiao-Chang Liu Tian Xia Jiang Wang Yi Yang Feng Zhou Yuanqing Lin 27 102 0 22 Mar 2016
Visual Concept Recognition and Localization via Iterative Introspection Amir Rosenfeld S. Ullman 41 23 0 14 Mar 2016
The Application of Two-level Attention Models in Deep Convolutional Neural Network for Fine-grained Image Classification Tianjun Xiao Yichong Xu Kuiyuan Yang Jiaxing Zhang Yuxin Peng Zheng-Wei Zhang 158 789 0 24 Nov 2014