Codesota · Models · USYD NLP_CS29-2Unknown6 results · 1 benchmarks
Model card

USYD NLP_CS29-2.

UnknownunknownUnknown paramsUnknown5 current SOTA

Imported from Papers With Code

§ 02 · Benchmarks

Every benchmark USYD NLP_CS29-2 has a recorded score for.

#BenchmarkArea · TaskMetricValueRankDateSource
01document-layout-recognition-challenge-testComputer Vision · Document Layout Analysisoverall0.9%#1/3source ↗
02document-layout-recognition-challenge-testComputer Vision · Document Layout Analysistitle0.8%#1/3source ↗
03document-layout-recognition-challenge-testComputer Vision · Document Layout Analysistext0.9%#1/3source ↗
04document-layout-recognition-challenge-testComputer Vision · Document Layout Analysistable1.0%#1/3source ↗
05document-layout-recognition-challenge-testComputer Vision · Document Layout Analysislist0.9%#1/3source ↗
06document-layout-recognition-challenge-testComputer Vision · Document Layout Analysisfigure1.0%#2/3source ↗
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 USYD NLP_CS29-2 actually performs.

Computer Vision
1
benchmark
avg rank #1.2 · 5 SOTA
§ 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.

ICDAR 2019 RDCL2019 Competition
6
results
6 of 6 rows marked verified.