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"

50 / 73 papers shown

Title
Learning with Noisy Labels: Interconnection of Two Expectation-Maximizations Heewon Kim Hyun Sung Chang Kiho Cho Jaeyun Lee Bohyung Han NoLa 28 2 0 09 Jan 2024
PDiscoNet: Semantically consistent part discovery for fine-grained recognition Robert van der Klis Stephan Alaniz Massimiliano Mancini C. Dantas Dino Ienco Zeynep Akata Diego Marcos 25 11 0 06 Sep 2023
Deep Learning Pipeline for Automated Visual Moth Monitoring: Insect Localization and Species Classification D. Korsch P. Bodesheim Joachim Denzler 24 12 0 28 Jul 2023
Cascading Hierarchical Networks with Multi-task Balanced Loss for Fine-grained hashing Xianxian Zeng Yanjun Zheng 30 2 0 20 Mar 2023
Practical Knowledge Distillation: Using DNNs to Beat DNNs Chungman Lee Pavlos Anastasios Apostolopulos Igor L. Markov FedML 35 1 0 23 Feb 2023
FoPro: Few-Shot Guided Robust Webly-Supervised Prototypical Learning Yulei Qin Xingyu Chen Chao Chen Yunhang Shen Bohan Ren Yun Gu Jie Yang Chunhua Shen 49 4 0 01 Dec 2022
Exploring Fine-Grained Audiovisual Categorization with the SSW60 Dataset Grant Van Horn Rui Qian Kimberly Wilber Hartwig Adam Oisin Mac Aodha Serge Belongie 31 10 0 21 Jul 2022
Active Labeling: Streaming Stochastic Gradients Vivien A. Cabannes Francis R. Bach Vianney Perchet Alessandro Rudi 61 2 0 26 May 2022
Webly Supervised Concept Expansion for General Purpose Vision Models Amita Kamath Christopher Clark Tanmay Gupta Eric Kolve Derek Hoiem Aniruddha Kembhavi VLM 35 54 0 04 Feb 2022
Fine-Grained Image Analysis with Deep Learning: A Survey Xiu-Shen Wei Yi-Zhe Song Oisin Mac Aodha Jianxin Wu Yuxin Peng Jinhui Tang Jian Yang Serge Belongie 74 279 0 11 Nov 2021
Playing for 3D Human Recovery Zhongang Cai Mingyuan Zhang Jiawei Ren Chen Wei Daxuan Ren Zhengyu Lin Haiyu Zhao Lei Yang Chen Change Loy Ziwei Liu 3DH 88 52 0 14 Oct 2021
Fine-Grained Adversarial Semi-supervised Learning Daniele Mugnai F. Pernici F. Turchini A. Bimbo 30 8 0 12 Oct 2021
Improving Fractal Pre-training Connor Anderson Ryan Farrell 90 27 0 06 Oct 2021
Weak Novel Categories without Tears: A Survey on Weak-Shot Learning Li Niu VLM OffRL 21 2 0 06 Oct 2021
EfficientCLIP: Efficient Cross-Modal Pre-training by Ensemble Confident Learning and Language Modeling Jue Wang Haofan Wang Jincan Deng Weijia Wu Debing Zhang VLM CLIP 67 18 0 10 Sep 2021
Benchmarking Representation Learning for Natural World Image Collections Grant Van Horn Elijah Cole Sara Beery Kimberly Wilber Serge J. Belongie Oisin Mac Aodha SSL VLM 26 165 0 30 Mar 2021
Danish Fungi 2020 -- Not Just Another Image Recognition Dataset Lukás Picek Milan Šulc Jirí Matas J. Heilmann‐Clausen T. Jeppesen T. Læssøe T. Frøslev 30 54 0 18 Mar 2021
Multiplicative Reweighting for Robust Neural Network Optimization Noga Bar Tomer Koren Raja Giryes OOD NoLa 18 9 0 24 Feb 2021
Re-rank Coarse Classification with Local Region Enhanced Features for Fine-Grained Image Recognition Shaokang Yang Shuai Liu Cheng Yang Changhu Wang 30 32 0 19 Feb 2021
Context-aware Attentional Pooling (CAP) for Fine-grained Visual Classification Ardhendu Behera Zachary Wharton Pradeep Ruwan Padmasiri Galbokka Hewage Asish Bera 67 108 0 17 Jan 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 24 159 0 09 Nov 2020
NeuroLogic Decoding: (Un)supervised Neural Text Generation with Predicate Logic Constraints Ximing Lu Peter West Rowan Zellers Ronan Le Bras Chandra Bhagavatula Yejin Choi NAI 15 142 0 24 Oct 2020
Weak-shot Fine-grained Classification via Similarity Transfer Junjie Chen Li Niu Liu Liu Liqing Zhang 36 21 0 19 Sep 2020
An Empirical Analysis of Backward Compatibility in Machine Learning Systems Megha Srivastava Besmira Nushi Ece Kamar S. Shah Eric Horvitz AAML 34 44 0 11 Aug 2020
Data-driven Meta-set Based Fine-Grained Visual Classification Chuanyi Zhang Yazhou Yao Xiangbo Shu Zechao Li Zhenmin Tang Qi Wu NoLa 21 2 0 06 Aug 2020
Data Cleansing with Contrastive Learning for Vocal Note Event Annotations Gabriel Meseguer-Brocal Rachel M. Bittner Simon Durand B. Brost 34 6 0 05 Aug 2020
Learning from Noisy Labels with Deep Neural Networks: A Survey Hwanjun Song Minseok Kim Dongmin Park Yooju Shin Jae-Gil Lee NoLa 24 964 0 16 Jul 2020
VehicleNet: Learning Robust Visual Representation for Vehicle Re-identification Zhedong Zheng Tao Ruan Yunchao Wei Yi Yang Tao Mei 29 151 0 14 Apr 2020
A Systematic Evaluation: Fine-Grained CNN vs. Traditional CNN Classifiers Saeed Anwar Nick Barnes L. Petersson 19 6 0 24 Mar 2020
CoCoPIE: Making Mobile AI Sweet As PIE --Compression-Compilation Co-Design Goes a Long Way Shaoshan Liu Bin Ren Xipeng Shen Yanzhi Wang 17 18 0 14 Mar 2020
Learning Invariant Representations of Social Media Users Matthew Wiesner M. Bishop 28 35 0 11 Oct 2019
Classification-Specific Parts for Improving Fine-Grained Visual Categorization D. Korsch P. Bodesheim Joachim Denzler 14 36 0 16 Sep 2019
AutoML: A Survey of the State-of-the-Art Xin He Kaiyong Zhao Xiaowen Chu 36 1,423 0 02 Aug 2019
Presence-Only Geographical Priors for Fine-Grained Image Classification Oisin Mac Aodha Elijah Cole Pietro Perona 19 162 0 12 Jun 2019
Geo-Aware Networks for Fine-Grained Recognition Grace Chu B. Potetz Weijun Wang Andrew G. Howard Yang Song Fernando Brucher Thomas Leung Hartwig Adam ObjD 33 82 0 04 Jun 2019
Holistic and Comprehensive Annotation of Clinically Significant Findings on Diverse CT Images: Learning from Radiology Reports and Label Ontology Ke Yan Yifan Peng V. Sandfort M. Bagheri Zhiyong Lu Ronald M. Summers MedIm 27 68 0 09 Apr 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
Overcoming Catastrophic Forgetting with Unlabeled Data in the Wild Kibok Lee Kimin Lee Jinwoo Shin Honglak Lee CLL 43 201 0 29 Mar 2019
Probabilistic End-to-end Noise Correction for Learning with Noisy Labels Kun Yi Jianxin Wu NoLa 36 410 0 19 Mar 2019
Weakly Supervised Complementary Parts Models for Fine-Grained Image Classification from the Bottom Up Weifeng Ge Xiangru Lin Yizhou Yu 42 255 0 07 Mar 2019
Robust Inference via Generative Classifiers for Handling Noisy Labels Kimin Lee Sukmin Yun Kibok Lee Honglak Lee Bo-wen Li Jinwoo Shin NoLa 33 134 0 31 Jan 2019
Boosting Standard Classification Architectures Through a Ranking Regularizer Ahmed Taha Yi-Ting Chen Teruhisa Misu Abhinav Shrivastava L. Davis 12 17 0 24 Jan 2019
Fine-grained Classification using Heterogeneous Web Data and Auxiliary Categories Li Niu Ashok Veeraraghavan A. Sabharwal 25 2 0 19 Nov 2018
Maximum-Entropy Fine-Grained Classification Abhimanyu Dubey O. Gupta Ramesh Raskar Nikhil Naik 28 156 0 16 Sep 2018
Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning Huayu Chen Yang Song Chen Sun Andrew G. Howard Serge J. Belongie 25 475 0 16 Jun 2018
3D Pose Estimation for Fine-Grained Object Categories Yaming Wang Xiao Tan Yi Yang Xiao-Chang Liu Errui Ding Feng Zhou L. Davis 3DV 3DH 24 33 0 12 Jun 2018
SOSELETO: A Unified Approach to Transfer Learning and Training with Noisy Labels Or Litany Daniel Freedman NoLa 33 13 0 24 May 2018
Do Better ImageNet Models Transfer Better? Simon Kornblith Jonathon Shlens Quoc V. Le OOD MLT 91 1,311 0 23 May 2018
Assessment of Deep Convolutional Neural Networks for Road Surface Classification Marcus Nolte Nikita Kister Markus Maurer 27 99 0 24 Apr 2018
Webly Supervised Learning for Skin Lesion Classification Fernando Navarro Sailesh Conjeti Federico Tombari Nassir Navab NoLa 20 18 0 31 Mar 2018