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SepFormer / SepFormer. Coarse-to-fine Separator Regression Network for Table Structure Recognition.pdf

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SepFormer (code, models, paper, tools)

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16.5 MB

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SHA256:: 79fe6233c1909a9061565fe32e9e9996cfacadc5e268b2e7381a8127977e2a89
Pointer size:: 133 Bytes
Size of remote file:: 16.5 MB
Xet hash:: e93de72bcd0ebdd56dc55996caf24069623cd4967ab6885651d4a7d448daa3e6

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