Replies: 1 comment 5 replies
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是，无线表格，它就是不行，根源在模型本身 |
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那对于这种无线表、三线表你有什么好的办法嘛，我自己的数据集就是这种数据偏多 |
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可以基于读光的模型进行微调训练哈，还有一个难搞的就是复现论文了，感觉seg and merge 两步的做法不错，可惜最近的都不开源 |
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想问一下哥，你说的这个复现论文的seg and merge 两步的做法是指的哪篇论文？最近也在尝试无线表格性能优化这块工作，有在SLANet plus上微调无线表格的识别能力，但是感觉效果不佳 |
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目前有三种技术方向哈，rapidTable是序列预测的方式，wiredV2是识别横线竖线再分割得到单元格的sam方式，我个人倾向于split andd merge的方向，论文可以参考 TSRFormer, TSRFormer DQ-DETR, 序列预测的话，感觉 DRCC Unitable 不错
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感谢🙏，btw，感谢开源这么好的工作 |
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我在线测试的时候，发现有不少这种无线表格识别的不太好，是模型的原因吗
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