Pinned Repositories
NL-Augmenter
NL-Augmenter 🦎 → 🐍 A Collaborative Repository of Natural Language Transformations
benchmarking_table_recogn
ctdar_measurement_tool
Evaluation Tool for the ICDAR 2019 Competition on Table Detection and Recognition
ICDAR2019_cTDaR
The ICDAR 2019 cTDaR is to evaluate the performance of methods for table detection (TRACK A) and table recognition (TRACK B). For the first track, document images containing one or several tables are provided. For TRACK B two subtracks exist: the first subtrack (B.1) provides the table region. Thus, only the table structure recognition must be performed. The second subtrack (B.2) provides no a-priori information. This means, the table region and table structure detection has to be done.
nat-acl2020
nat-acl2021
NL-Augmenter
NL-Augmenter 🦎 → 🐍 A Collaborative Repository of Natural Language Transformations
table-interpretation
tabrec-sncs
mnamysl's Repositories
mnamysl/nat-acl2020
mnamysl/nat-acl2021
mnamysl/benchmarking_table_recogn
mnamysl/tabrec-sncs
mnamysl/table-interpretation
mnamysl/ctdar_measurement_tool
Evaluation Tool for the ICDAR 2019 Competition on Table Detection and Recognition
mnamysl/ICDAR2019_cTDaR
The ICDAR 2019 cTDaR is to evaluate the performance of methods for table detection (TRACK A) and table recognition (TRACK B). For the first track, document images containing one or several tables are provided. For TRACK B two subtracks exist: the first subtrack (B.1) provides the table region. Thus, only the table structure recognition must be performed. The second subtrack (B.2) provides no a-priori information. This means, the table region and table structure detection has to be done.
mnamysl/NL-Augmenter
NL-Augmenter 🦎 → 🐍 A Collaborative Repository of Natural Language Transformations