Learning from noisy labels via Discrepant Collaborative Training

Yan Han, Soumava Kumar Roy, Lars Petersson, Mehrtash Harandi

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

6 Citations (Scopus)

Abstract

Noise is ubiquitous in the world around us. Difficulty in estimating the noise within a dataset makes learning from such a dataset a difficult and challenging task. In this paper, we propose a novel and effective learning framework in order to alleviate the adverse effects of noise within a dataset. Towards this aim, we modify a collaborative training framework to utilize discrepancy constraints between respective feature extractors enabling the learning of distinct, yet discriminative features, pacifying the adverse effects of noise. Empirical results of our proposed algorithm, Discrepant Collaborative Training (DCT), achieve competitive results against several current state-of-the-art algorithms across MNIST, CIFAR10 and CIFAR100, as well as large fine-grained image classification datasets such as CUBS-200-2011 and CARS196 for different levels of noise.

Original languageEnglish
Title of host publicationProceedings - 2020 IEEE Winter Conference on Applications of Computer Vision (WACV)
EditorsGang Hua, Ming-Yu Liu, Vishal Patel, Walter Scheirer, Ryan Farrell
Place of PublicationPiscataway NJ USA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages3158-3167
Number of pages10
ISBN (Electronic)9781728165530, 9781728165523
ISBN (Print)9781728165547
DOIs
Publication statusPublished - 2020
Externally publishedYes
EventIEEE Winter Conference on Applications of Computer Vision 2020 - Snowmass Village, United States of America
Duration: 1 Mar 20205 Mar 2020
https://ieeexplore.ieee.org/xpl/conhome/9087828/proceeding (Proceedings)
https://wacv20.wacv.net (Website)

Publication series

NameProceedings - 2020 IEEE Winter Conference on Applications of Computer Vision, WACV 2020
PublisherThe Institute of Electrical and Electronics Engineers, Inc.
ISSN (Print)2472-6737
ISSN (Electronic)2642-9381

Conference

ConferenceIEEE Winter Conference on Applications of Computer Vision 2020
Abbreviated titleWACV 2020
Country/TerritoryUnited States of America
CitySnowmass Village
Period1/03/205/03/20
Internet address

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