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WebVision Database: Visual Learning and Understanding from Web Data

WebVision Database: Visual Learning and Understanding from Web Data

9 August 2017
Wen Li
Limin Wang
Wei Li
E. Agustsson
Luc Van Gool
    VLM
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Papers citing "WebVision Database: Visual Learning and Understanding from Web Data"

21 / 121 papers shown
Title
MoPro: Webly Supervised Learning with Momentum Prototypes
MoPro: Webly Supervised Learning with Momentum Prototypes
Junnan Li
Caiming Xiong
Guosheng Lin
26
95
0
17 Sep 2020
Adversarial Eigen Attack on Black-Box Models
Adversarial Eigen Attack on Black-Box Models
Linjun Zhou
Peng Cui
Yinan Jiang
Shiqiang Yang
AAML
14
12
0
27 Aug 2020
Weakly Supervised Learning with Side Information for Noisy Labeled
  Images
Weakly Supervised Learning with Side Information for Noisy Labeled Images
Lele Cheng
Xiangzeng Zhou
Liming Zhao
Dangwei Li
Hong Shang
Yun Zheng
Pan Pan
Yinghui Xu
NoLa
42
43
0
25 Aug 2020
Learning from Noisy Labels with Deep Neural Networks: A Survey
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
DeepSinger: Singing Voice Synthesis with Data Mined From the Web
DeepSinger: Singing Voice Synthesis with Data Mined From the Web
Yi Ren
Xu Tan
Tao Qin
Jian Luan
Zhou Zhao
Tie-Yan Liu
39
73
0
09 Jul 2020
Early-Learning Regularization Prevents Memorization of Noisy Labels
Early-Learning Regularization Prevents Memorization of Noisy Labels
Sheng Liu
Jonathan Niles-Weed
N. Razavian
C. Fernandez‐Granda
NoLa
36
557
0
30 Jun 2020
Smooth Proxy-Anchor Loss for Noisy Metric Learning
Smooth Proxy-Anchor Loss for Noisy Metric Learning
Carlos Roig
David Varas
Issey Masuda
J. C. Riveiro
Elisenda Bou
NoLa
19
3
0
09 Jun 2020
Distant Supervision and Noisy Label Learning for Low Resource Named
  Entity Recognition: A Study on Hausa and Yorùbá
Distant Supervision and Noisy Label Learning for Low Resource Named Entity Recognition: A Study on Hausa and Yorùbá
David Ifeoluwa Adelani
Michael A. Hedderich
D. Zhu
Esther van den Berg
Dietrich Klakow
19
11
0
18 Mar 2020
Strength from Weakness: Fast Learning Using Weak Supervision
Strength from Weakness: Fast Learning Using Weak Supervision
Joshua Robinson
Stefanie Jegelka
S. Sra
43
32
0
19 Feb 2020
Confident Learning: Estimating Uncertainty in Dataset Labels
Confident Learning: Estimating Uncertainty in Dataset Labels
Curtis G. Northcutt
Lu Jiang
Isaac L. Chuang
NoLa
46
676
0
31 Oct 2019
Robust Training with Ensemble Consensus
Robust Training with Ensemble Consensus
Jisoo Lee
Sae-Young Chung
NoLa
22
28
0
22 Oct 2019
Label-PEnet: Sequential Label Propagation and Enhancement Networks for
  Weakly Supervised Instance Segmentation
Label-PEnet: Sequential Label Propagation and Enhancement Networks for Weakly Supervised Instance Segmentation
Weifeng Ge
Sheng Guo
Weilin Huang
Matthew R. Scott
30
48
0
07 Oct 2019
Cap2Det: Learning to Amplify Weak Caption Supervision for Object
  Detection
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
Combating Label Noise in Deep Learning Using Abstention
Combating Label Noise in Deep Learning Using Abstention
S. Thulasidasan
Tanmoy Bhattacharya
J. Bilmes
Gopinath Chennupati
J. Mohd-Yusof
NoLa
22
178
0
27 May 2019
Unsupervised Open Domain Recognition by Semantic Discrepancy
  Minimization
Unsupervised Open Domain Recognition by Semantic Discrepancy Minimization
Junbao Zhuo
Shuhui Wang
Shuhao Cui
Qingming Huang
30
35
0
18 Apr 2019
Tencent ML-Images: A Large-Scale Multi-Label Image Database for Visual
  Representation Learning
Tencent ML-Images: A Large-Scale Multi-Label Image Database for Visual Representation Learning
Baoyuan Wu
Weidong Chen
Yanbo Fan
Yong Zhang
Jinlong Hou
Jie Liu
Tong Zhang
VLM
MLLM
25
86
0
07 Jan 2019
Learning to Learn from Web Data through Deep Semantic Embeddings
Learning to Learn from Web Data through Deep Semantic Embeddings
Raul Gomez
Lluís Gómez
J. Gibert
Dimosthenis Karatzas
24
22
0
20 Aug 2018
CurriculumNet: Weakly Supervised Learning from Large-Scale Web Images
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
Improving CNN classifiers by estimating test-time priors
Improving CNN classifiers by estimating test-time priors
Milan Šulc
Jirí Matas
14
23
0
21 May 2018
A Semi-Supervised Two-Stage Approach to Learning from Noisy Labels
A Semi-Supervised Two-Stage Approach to Learning from Noisy Labels
Yifan Ding
Liqiang Wang
Deliang Fan
Boqing Gong
NoLa
34
103
0
08 Feb 2018
Recent Advances in Transfer Learning for Cross-Dataset Visual
  Recognition: A Problem-Oriented Perspective
Recent Advances in Transfer Learning for Cross-Dataset Visual Recognition: A Problem-Oriented Perspective
Jing Zhang
Wanqing Li
P. Ogunbona
Dong Xu
OOD
27
46
0
11 May 2017
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