Yang, Jufeng, Sun, Xiaoxiao, Lai, Yukun, Zheng, Liang and Cheng, Ming-Ming
2018.
Recognition from web data: A progressive filtering approach.
IEEE Transactions on Image Processing
27
(11)
, pp. 5303-5315.
10.1109/TIP.2018.2855449
|
Abstract
Leveraging the abundant number of web data is a
promising strategy in addressing the problem of data lacking
when training convolutional neural networks (CNNs). However,
web images often contain incorrect tags, which may compromise
the learned CNN model. To address this problem, this paper
focuses on image classification and proposes to iterate between
filtering out noisy web labels and fine-tuning the CNN model
using the crawled web images. Overall, the proposed method
benefits from the growing modeling capability of the learned
model to correct labels for web images and learning from such
new data to produce a more effective model. Our contribution is
two-fold. First, we propose an iterative method that progressively
improves the discriminative ability of CNNs and the accuracy of
web image selection. This method is beneficial towards selecting
high-quality web training images and expanding the training
set as the model gets ameliorated. Second, since web images
are usually complex and may not be accurately described by
a single tag, we propose to assign a web image multiple labels
to reduce the impact of hard label assignment. This labeling
strategy mines more training samples to improve the CNN model.
In the experiments, we crawl 0.5 million web images covering all
categories of four public image classification datasets. Compared
with the baseline which has no web images for training, we show
that the proposed method brings notable improvement. We also
report competitive recognition accuracy compared with the state
of the art.
Item Type: |
Article
|
Date Type: |
Publication |
Status: |
Published |
Schools: |
Computer Science & Informatics |
Publisher: |
Institute of Electrical and Electronics Engineers (IEEE) |
ISSN: |
1057-7149 |
Date of First Compliant Deposit: |
30 June 2018 |
Date of Acceptance: |
18 June 2018 |
Last Modified: |
28 Jun 2019 16:49 |
URI: |
http://orca.cf.ac.uk/id/eprint/112900 |
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