method: GS_HUST2019-05-28

Authors: Changxu Cheng, Qiuhui Huang, Wuheng Xu and Hao Wang at Huazhong University of Science and Technology

Description: We use a simple VGG16 followed by Global Average Pooling and a linear classifier. Data augmentation, including random crop, changing hsv and perspective transformation, is imposed on the training data. Besides, we adopt grouping resizing strategy to deal with the trainging images. Specifically, we resize the images to a certain size according to their aspect ratios. In this way, only images with similar aspect ratios has the same final size.

Confusion Matrix

Detection
ArabicLatinChineseJapaneseKoreanBanglaHindiSymbolsNone
GTArabic4810233231723119160
Latin228576639025196451581323900
Chinese713542073264499130
Japanese371528196542132712863520
Korean291309553230107633549240
Bangla913827128222711860
Hindi32151014417730
Symbols49532441057061131980
None000000000