Model card
DEER.
UnknownunknownUnknown paramsUnknown
Imported from Papers With Code
§ 02 · Benchmarks
Every benchmark DEER has a recorded score for.
| # | Benchmark | Area · Task | Metric | Value | Rank | Date | Source |
|---|---|---|---|---|---|---|---|
| 01 | Total-Text | Computer Vision · Scene Text Detection | f-measure-no-lexicon | 74.8% | #7 | 2022-03-10 | source ↗ |
| 02 | Total-Text | Computer Vision · Scene Text Detection | f-measure-full-lexicon | 83.3% | #9 | 2022-03-10 | 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.
§ 04 · Papers
1 paper with results for DEER.
- 2022-03-10· Computer Vision· 2 results
DEER: Detection-agnostic End-to-End Recognizer for Scene Text Spotting
§ 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.