Model card
MixNet.
UnknownunknownUnknown paramsUnknown1 current SOTA
Imported from Papers With Code
§ 02 · Benchmarks
Every benchmark MixNet has a recorded score for.
| # | Benchmark | Area · Task | Metric | Value | Rank | Date | Source |
|---|---|---|---|---|---|---|---|
| 01 | scut-ctw1500 | Computer Vision · Optical Character Recognition | f-measure | 89.8% | #1 | 2023-08-23 | source ↗ |
| 02 | ic19-art | Computer Vision · Scene Text Detection | h-mean | 79.7% | #2 | 2023-08-23 | source ↗ |
| 03 | msra-td500 | Computer Vision · Scene Text Detection | recall | 88.1% | #2 | 2023-08-23 | source ↗ |
| 04 | scut-ctw1500 | Computer Vision · Optical Character Recognition | recall | 88.3% | #2 | 2023-08-23 | source ↗ |
| 05 | Total-Text | Computer Vision · Scene Text Detection | f-measure | 90.5% | #3 | 2023-08-23 | source ↗ |
| 06 | Total-Text | Computer Vision · Scene Text Detection | precision | 93.0% | #3 | 2023-08-23 | source ↗ |
| 07 | Total-Text | Computer Vision · Scene Text Detection | recall | 88.1% | #4 | 2023-08-23 | source ↗ |
| 08 | msra-td500 | Computer Vision · Scene Text Detection | f-measure | 89.4% | #4 | 2023-08-23 | source ↗ |
| 09 | scut-ctw1500 | Computer Vision · Optical Character Recognition | precision | 91.4% | #4 | 2023-08-23 | source ↗ |
| 10 | scut-ctw1500 | Computer Vision · Optical Character Recognition | fps | 15.2% | #6 | 2023-08-23 | source ↗ |
| 11 | msra-td500 | Computer Vision · Scene Text Detection | fps | 15.2% | #8 | 2023-08-23 | source ↗ |
| 12 | Total-Text | Computer Vision · Scene Text Detection | fps | 15.2% | #9 | 2023-08-23 | source ↗ |
| 13 | msra-td500 | Computer Vision · Scene Text Detection | precision | 90.7% | #12 | 2023-08-23 | 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 MixNet actually performs.
§ 04 · Papers
1 paper with results for MixNet.
- 2023-08-23· Computer Vision· 13 results
MixNet: Toward Accurate Detection of Challenging Scene Text in the Wild
§ 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
PAN
Unknown params · 12 results
SPCNET
Unknown params · 12 results
TESTR
Unknown params · 12 results
TextSnake
Unknown params · 12 results
§ 06 · Sources & freshness
Where these numbers come from.
papers-with-code
13
results
13 of 13 rows marked verified.