Model card
Random Baseline (HowSumm-Method).
Unknownextractive
Random extractive baseline for HowSumm-Method task from the original HowSumm paper.
§ 01 · Benchmarks
Every benchmark Random Baseline (HowSumm-Method) has a recorded score for.
| # | Benchmark | Area · Task | Metric | Value | Rank | Date | Source |
|---|---|---|---|---|---|---|---|
| 01 | howsumm-method | Computer Vision · Optical Character Recognition | rouge-1 | 41.5% | #12 | — | 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 Random Baseline (HowSumm-Method) actually performs.
§ 04 · Related models
Other Unknown models scored on Codesota.
fglihai
Unknown params · 6 results · 1 SOTA
CLIP4STR-L
Unknown params · 1 result · 1 SOTA
USYD NLP_CS29-2
Unknown params · 6 results
Corner-based Region Proposals
Unknown params · 3 results
EAST + VGG16
Unknown params · 3 results
SSTD
Unknown params · 3 results
TextBoxes++_MS
Unknown params · 3 results
WordSup (VGG16-synth-coco)
Unknown params · 3 results
§ 05 · Sources & freshness
Where these numbers come from.
paper
1
result
1 of 1 rows marked verified.