method: GoMatching2024-01-19
Authors: HeHaibin, YeMaoyuan, ZhangJing, LiuJuhua, TaoDacheng
Affiliation: Wuhan University-AI.INST
Description: We extend off-the-shelf image text spotter DeepSolo to video text spotter via long-short term matching module.
method: TransDETR2022-04-15
Authors: weijia
Affiliation: Zhejiang University&Kuaishou(MMU)
Email: weijiawu@zju.edu.cn
Description: A simple, but effective end-to-end video text DEtection, Tracking, and Recognition framework (TransDETR). TransDETR mainly includes two advantages: 1) Different from the explicit match paradigm in the adjacent frame, TransDETR tracks and recognizes each text implicitly by the different query termed text query over long-range temporal sequence (more than 7 frames). 2) TransDETR is the first end-to-end trainable video text spotting framework, which simultaneously addresses the three sub-tasks (e.g., text detection, tracking, recognition).
| Date | Method | MOTA | MOTP | IDF1 | Mostly Matched | Partially Matched | Mostly Lost | |||
|---|---|---|---|---|---|---|---|---|---|---|
| 2024-01-19 | GoMatching | 72.04% | 78.53% | 80.11% | 1002 | 205 | 160 | |||
| 2022-04-15 | TransDETR | 60.96% | 74.61% | 72.80% | 644 | 323 | 400 |