Model card
Multi-Task Learning Model.
UnknownunknownUnknown paramsUnknown
Imported from Papers With Code
§ 02 · Benchmarks
Every benchmark Multi-Task Learning Model has a recorded score for.
| # | Benchmark | Area · Task | Metric | Value | Rank | Date | Source |
|---|---|---|---|---|---|---|---|
| 01 | pubtabnet | Computer Vision · Table Recognition | teds-struct | 97.9% | #3 | 2023-03-15 | source ↗ |
| 02 | pubtabnet | Computer Vision · Table Recognition | teds-all-samples | 96.7% | #5 | 2023-03-15 | 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.
§ 03 · Strengths by area
Where Multi-Task Learning Model actually performs.
§ 04 · Papers
1 paper with results for Multi-Task Learning Model.
- 2023-03-15· Computer Vision· 2 results
An End-to-End Multi-Task Learning Model for Image-based Table Recognition
§ 05 · Related models
Other Unknown models scored on Codesota.
CRAFT
Unknown params · 21 results
GPT-2-Large (fine-tuning)
Unknown params · 20 results
HTLM (fine-tuning)
Unknown params · 20 results
TextFuseNet (ResNeXt-101)
Unknown params · 16 results
MixNet
Unknown params · 13 results
PAN
Unknown params · 12 results
SPCNET
Unknown params · 12 results
TESTR
Unknown params · 12 results
§ 06 · Sources & freshness
Where these numbers come from.
papers-with-code
2
results
2 of 2 rows marked verified.