WebVision Database: Visual Learning and Understanding from Web Data

9 August 2017

Luc Van Gool

Papers citing "WebVision Database: Visual Learning and Understanding from Web Data"

50 / 121 papers shown

Title
Is one annotation enough? A data-centric image classification benchmark for noisy and ambiguous label estimation Lars Schmarje Vasco Grossmann Claudius Zelenka S. Dippel R. Kiko ... M. Pastell J. Stracke A. Valros N. Volkmann Reinahrd Koch 45 34 0 13 Jul 2022
Towards Harnessing Feature Embedding for Robust Learning with Noisy Labels Chuang Zhang Li Shen Jian Yang Chen Gong NoLa 27 5 0 27 Jun 2022
Context-based Virtual Adversarial Training for Text Classification with Noisy Labels Do-Myoung Lee Yeachan Kim Chang-gyun Seo NoLa 21 2 0 29 May 2022
On the Eigenvalues of Global Covariance Pooling for Fine-grained Visual Recognition Yue Song N. Sebe Wei Wang 43 33 0 26 May 2022
SELC: Self-Ensemble Label Correction Improves Learning with Noisy Labels Yangdi Lu Wenbo He NoLa 40 39 0 02 May 2022
Online Continual Learning on a Contaminated Data Stream with Blurry Task Boundaries Jihwan Bang Hyun-woo Koh Seulki Park Hwanjun Song Jung-Woo Ha Jonghyun Choi CLL 35 39 0 29 Mar 2022
UNICON: Combating Label Noise Through Uniform Selection and Contrastive Learning Nazmul Karim Mamshad Nayeem Rizve Nazanin Rahnavard Ajmal Mian M. Shah NoLa 42 98 0 28 Mar 2022
Scalable Penalized Regression for Noise Detection in Learning with Noisy Labels Yikai Wang Xinwei Sun Yanwei Fu NoLa 37 23 0 15 Mar 2022
Selective-Supervised Contrastive Learning with Noisy Labels Shikun Li Xiaobo Xia Shiming Ge Tongliang Liu NoLa 32 172 0 08 Mar 2022
Robust Training under Label Noise by Over-parameterization Sheng Liu Zhihui Zhu Qing Qu Chong You NoLa OOD 34 106 0 28 Feb 2022
Synergistic Network Learning and Label Correction for Noise-robust Image Classification Chen Gong K. Bin E. Seibel Xin Wang Youbing Yin Qi Song NoLa 33 2 0 27 Feb 2022
CLS: Cross Labeling Supervision for Semi-Supervised Learning Yao Yao Ju Shen Jin Xu Bin Zhong Li Xiao 29 3 0 17 Feb 2022
FUN-SIS: a Fully UNsupervised approach for Surgical Instrument Segmentation Luca Sestini Benoit Rosa Elena De Momi G. Ferrigno N. Padoy 29 35 0 16 Feb 2022
Learning with Neighbor Consistency for Noisy Labels Ahmet Iscen Jack Valmadre Anurag Arnab Cordelia Schmid NoLa 41 75 0 04 Feb 2022
Hard Sample Aware Noise Robust Learning for Histopathology Image Classification Chuang Zhu Wenkai Chen T. Peng Ying Wang M. Jin NoLa 34 72 0 05 Dec 2021
Multi-label Iterated Learning for Image Classification with Label Ambiguity Sai Rajeswar Pau Rodríguez López Soumye Singhal David Vazquez Rameswar Panda VLM 28 30 0 23 Nov 2021
RedCaps: web-curated image-text data created by the people, for the people Karan Desai Gaurav Kaul Zubin Aysola Justin Johnson 31 162 0 22 Nov 2021
SSR: An Efficient and Robust Framework for Learning with Unknown Label Noise Chen Feng Georgios Tzimiropoulos Ioannis Patras NoLa 29 18 0 22 Nov 2021
Addressing out-of-distribution label noise in webly-labelled data Paul Albert Diego Ortego Eric Arazo Noel E. O'Connor Kevin McGuinness NoLa 18 16 0 26 Oct 2021
PropMix: Hard Sample Filtering and Proportional MixUp for Learning with Noisy Labels F. Cordeiro Vasileios Belagiannis Ian Reid G. Carneiro NoLa 30 18 0 22 Oct 2021
Continual Learning on Noisy Data Streams via Self-Purified Replay C. Kim Jinseo Jeong Sang-chul Moon Gunhee Kim CLL 45 39 0 14 Oct 2021
NoisyActions2M: A Multimedia Dataset for Video Understanding from Noisy Labels Mohit Sharma Rajkumar Patra Harshali Desai Shruti Vyas Yogesh S Rawat R. Shah VGen NoLa 24 3 0 13 Oct 2021
PASS: An ImageNet replacement for self-supervised pretraining without humans Yuki M. Asano Christian Rupprecht Andrew Zisserman Andrea Vedaldi VLM SSL 26 57 0 27 Sep 2021
Knowledge Distillation with Noisy Labels for Natural Language Understanding Shivendra Bhardwaj Abbas Ghaddar Ahmad Rashid Khalil Bibi Cheng-huan Li A. Ghodsi Philippe Langlais Mehdi Rezagholizadeh 19 1 0 21 Sep 2021
Assessing the Quality of the Datasets by Identifying Mislabeled Samples Vaibhav Pulastya Gaurav Nuti Yash Kumar Atri Tanmoy Chakraborty NoLa 35 5 0 10 Sep 2021
A robust approach for deep neural networks in presence of label noise: relabelling and filtering instances during training A. Gómez-Ríos Julián Luengo Francisco Herrera OOD NoLa 21 0 0 08 Sep 2021
Increasing Adversarial Uncertainty to Scale Private Similarity Testing Yiqing Hua Armin Namavari Kai-Wen Cheng Mor Naaman Thomas Ristenpart 19 4 0 03 Sep 2021
Robust Long-Tailed Learning under Label Noise Tong Wei Jiang-Xin Shi Wei-Wei Tu Yu-Feng Li NoLa 30 50 0 26 Aug 2021
NGC: A Unified Framework for Learning with Open-World Noisy Data Zhi-Fan Wu Tong Wei Jianwen Jiang Chaojie Mao Mingqian Tang Yu-Feng Li 11 81 0 25 Aug 2021
Cooperative Learning for Noisy Supervision Hao Wu Jiangchao Yao Ya Zhang Yanfeng Wang NoLa 14 2 0 11 Aug 2021
Webly Supervised Fine-Grained Recognition: Benchmark Datasets and An Approach Zeren Sun Yazhou Yao Xiu-Shen Wei Yongshun Zhang Fumin Shen Jianxin Wu Jian Zhang Heng Tao Shen 28 55 0 05 Aug 2021
Learning with Noisy Labels via Sparse Regularization Xiong Zhou Xianming Liu Chenyang Wang Deming Zhai Junjun Jiang Xiangyang Ji NoLa 34 51 0 31 Jul 2021
The Hitchhiker's Guide to Prior-Shift Adaptation Tomas Sipka Milan Šulc Jirí Matas VLM 16 16 0 22 Jun 2021
Efficient Self-supervised Vision Transformers for Representation Learning Chunyuan Li Jianwei Yang Pengchuan Zhang Mei Gao Bin Xiao Xiyang Dai Lu Yuan Jianfeng Gao ViT 40 209 0 17 Jun 2021
Towards Understanding Deep Learning from Noisy Labels with Small-Loss Criterion Xian-Jin Gui Wei Wang Zhang-Hao Tian NoLa 33 45 0 17 Jun 2021
Correlated Input-Dependent Label Noise in Large-Scale Image Classification Mark Collier Basil Mustafa Efi Kokiopoulou Rodolphe Jenatton Jesse Berent NoLa 184 53 0 19 May 2021
Generalized Jensen-Shannon Divergence Loss for Learning with Noisy Labels Erik Englesson Hossein Azizpour NoLa 34 104 0 10 May 2021
Boosting Co-teaching with Compression Regularization for Label Noise Yingyi Chen Xin Shen S. Hu Johan A. K. Suykens NoLa 45 45 0 28 Apr 2021
Learning from Noisy Labels via Dynamic Loss Thresholding Hao Yang Youzhi Jin Zi-Hua Li Deng-Bao Wang Lei Miao Xin Geng Min-Ling Zhang NoLa AI4CE 32 6 0 01 Apr 2021
LongReMix: Robust Learning with High Confidence Samples in a Noisy Label Environment F. Cordeiro Ragav Sachdeva Vasileios Belagiannis Ian Reid G. Carneiro NoLa 19 77 0 06 Mar 2021
Multiplicative Reweighting for Robust Neural Network Optimization Noga Bar Tomer Koren Raja Giryes OOD NoLa 20 9 0 24 Feb 2021
Provably End-to-end Label-Noise Learning without Anchor Points Xuefeng Li Tongliang Liu Bo Han Gang Niu Masashi Sugiyama NoLa 133 121 0 04 Feb 2021
Analysing the Noise Model Error for Realistic Noisy Label Data Michael A. Hedderich D. Zhu Dietrich Klakow NoLa 31 19 0 24 Jan 2021
Concept Generalization in Visual Representation Learning Mert Bulent Sariyildiz Yannis Kalantidis Diane Larlus Alahari Karteek SSL 35 50 0 10 Dec 2020
Multi-Objective Interpolation Training for Robustness to Label Noise Diego Ortego Eric Arazo Paul Albert Noel E. O'Connor Kevin McGuinness NoLa 30 112 0 08 Dec 2020
SemiNLL: A Framework of Noisy-Label Learning by Semi-Supervised Learning Zhuowei Wang Jing Jiang Bo Han Lei Feng Bo An Gang Niu Guodong Long NoLa 33 17 0 02 Dec 2020
A Survey on Recent Approaches for Natural Language Processing in Low-Resource Scenarios Michael A. Hedderich Lukas Lange Heike Adel Jannik Strötgen Dietrich Klakow 224 287 0 23 Oct 2020
Webly Supervised Image Classification with Metadata: Automatic Noisy Label Correction via Visual-Semantic Graph Jingkang Yang Weirong Chen Xue Jiang Xiaopeng Yan Huabin Zheng Wayne Zhang NoLa 33 13 0 12 Oct 2020
FSD50K: An Open Dataset of Human-Labeled Sound Events Eduardo Fonseca Xavier Favory Jordi Pons F. Font Xavier Serra 26 438 0 01 Oct 2020
Weak-shot Fine-grained Classification via Similarity Transfer Junjie Chen Li Niu Liu Liu Liqing Zhang 36 21 0 19 Sep 2020