… real datasets for scene text recognition? toward scene text recognition with fewer labels. In:
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. …

… of scene text detection in the last ten years. We analysed the past strategies in scene text
detection, … model to adapt to blur conditions are some of the things that researchers continue to …

… We formulate scene text recognition as a sequence labeling problem by treating scene text
as … Each scene text image is treated as a sequence of frames denoted by x = (x1,x2, ··· ,xT ). …

… (Internet of things) and deep learning technology, text detection research … in scene text
detection research. In this paper, we first introduce the history and progress of scene text detection …

… of scene text recognition. In this paper, a deep learning-based classifier combination approach
is proposed to solve the problem of language identification from multi-lingual scene text …

… The selected images are similar to the images used in recent competitions on scene text
detection and recognition [3], [4], where scene text from signs is the main target. Figure 1 shows …

… text instances, symbols, and logos in natural scene images. Scene text detection and recognition
… when we have to identify a text region in a scene image, no matter how complicated the …

… The main difficulties of scene text detection include cluttered background, perspective
distortion, lighting variation, defocus and variations of text font type, size and color. Figure 1.4 …

… potential, we aim to utilize them for scene text recognition. … CLIPTER on leading scene text
recognition methods across 12 … Language matters: A weakly supervised vision-language pre-…

… detector system. In this work we studied how script languages affect a text detector’s … more
or less outperformed those of Hetero Languages, no matter what architecture the network was …