TDATR: Improving End-to-End Table Recognition via Table Detail-Aware Learning and Cell-Level Visual Alignment

1. 1Propose TDATR, a table detail-aware table recognition approach
2. 2Implement table detail-aware learning to capture table structure and content
3. 3Apply cell-level visual alignment to improve recognition accuracy
4. 4Evaluate TDATR on benchmark datasets to demonstrate its effectiveness

Data scientists and AI engineers working on document analysis tasks can benefit from TDATR as it improves table recognition accuracy and simplifies workflows

💡 TDATR simplifies table recognition workflows and improves accuracy in data-constrained scenarios

📊 TDATR improves table recognition via detail-aware learning and visual alignment!