  Although end-to-end video text spotting methods based on Transformer can
model long-range dependencies and simplify the train process, it will lead to
large computation cost with the increase of the frame size in the input video.
Therefore, considering the resolution of ICDAR 2023 DSText is 1080 * 1920 and
slicing the video frame into several areas will destroy the spatial correlation
of text, we divided the small and dense text spotting into two tasks, text
detection and tracking. For text detection, we adopt the PP-YOLOE-R which is
proven effective in small object detection as our detection model. For text
detection, we use the sort algorithm for high inference speed. Experiments on
DSText dataset demonstrate that our method is competitive on small and dense
text spotting.
