method: SAR2018-12-19
Authors: Hui Li, Peng Wang, Chunhua Shen, Guyu Zhang
Description: We propose an easy-to-implement strong baseline for irregular scene text recognition, using off- the-shelf neural network components and only word-level annotations. It is composed of a 31-layer ResNet, an LSTM- based encoder-decoder framework and a 2-dimensional attention module. Despite its simplicity, the proposed method is robust. It achieves state-of-the-art performance on irregular text recognition benchmarks and comparable results on regular text datasets.
Description Paper Source Code
Date | Method | Total Edit distance (case sensitive) | Correctly Recognised Words (case sensitive) | T.E.D. (case insensitive) | C.R.W. (case insensitive) | |||
---|---|---|---|---|---|---|---|---|
2018-12-19 | SAR | 437.1642 | 67.40% | 203.1446 | 78.82% |