Model card
MTL-TabNet (LA).
Nam Tuan Ly / NIItable-recognition
Multi-task table recognizer with local-attention decoder, best variant (Ly & Takasu 2023, "Nam23LA"). arXiv:2303.08648.
§ 01 · Benchmarks
Every benchmark MTL-TabNet (LA) has a recorded score for.
| # | Benchmark | Area · Task | Metric | Value | Rank | Date | Source |
|---|---|---|---|---|---|---|---|
| 01 | table-recognition-challenge-mini-test | Computer Vision · Table Recognition | teds-all-samples | 96.2% | #5 | — | source ↗ |
| 02 | table-recognition-challenge-mini-test | Computer Vision · Table Recognition | teds-simple-samples | 97.8% | #5 | — | source ↗ |
| 03 | table-recognition-challenge-mini-test | Computer Vision · Table Recognition | teds-complex-samples | 94.6% | #6 | — | source ↗ |
Rank column shows this model’s position vs all other models scored on the same benchmark + metric (competitors after the slash). #1 in red means current SOTA. Sorted by rank, then newest result.
§ 02 · Strengths by area
Where MTL-TabNet (LA) actually performs.
§ 04 · Related models
Other Nam Tuan Ly / NII models scored on Codesota.
§ 05 · Sources & freshness
Where these numbers come from.
paper
3
results
0 of 3 rows marked verified.