NLPIR SEMINAR Y2019#5
In the new semester, our Lab, Web Search Mining and Security Lab, plans to hold an academic seminar every Monday, and each time a keynote speaker will share understanding of papers on his/her related research with you.
This week’s seminar is organized as follows:
- The seminar time is 1.pm, Mon, at Zhongguancun Technology Park ,Building 5, 1306.
- The lecturer is Wang Gang, the paper’s title is End-to-End Text Recognition with Convolutional Neural Networks.
- The seminar will be hosted by Qinghong Jiang.
- Attachment is the paper of this seminar, please download in advance.
Everyone interested in this topic is welcomed to join us. the following is the abstract for this week’s paper.
End-to-End Text Recognition with Convolutional Neural Networks
Tao Wang David J. Wu Adam
Coates Andrew Y. Ng
Full end-to-end text recognition in
natural images is a challenging problem that has received much attention
recently. Traditional systems in this area have relied on elaborate models
incorporating carefully hand-engineered features or large amounts of prior
knowledge. In this paper, we take a different route and combine the
representational power of large, multilayer neural networks together with
recent developments in unsupervised feature learning, which allows us to use a
common framework to train highly-accurate text detector and character
recognizer modules. Then, using only simple off-the-shelf methods, we integrate
these two modules into a full end-to-end, lexicon-driven, scene text
recognition system that achieves state-of-the-art performance on standard
benchmarks, namely Street View Text and ICDAR 2003.