Model card
RetinaNet.
UnknownunknownUnknown paramsUnknown2 current SOTA
Imported from Papers With Code
§ 02 · Benchmarks
Every benchmark RetinaNet has a recorded score for.
| # | Benchmark | Area · Task | Metric | Value | Rank | Date | Source |
|---|---|---|---|---|---|---|---|
| 01 | stdw | Computer Vision · Optical Character Recognition | iou | 0.5% | #1 | 2022-08-31 | source ↗ |
| 02 | stdw | Computer Vision · Optical Character Recognition | ap | 0.8% | #1 | 2022-08-31 | source ↗ |
| 03 | COCO | Computer Vision · Object Detection | map | 43.8% | #45 | — | 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 RetinaNet actually performs.
§ 04 · Papers
2 papers with results for RetinaNet.
- 2022-08-31· Computer Vision· 2 results
Table Detection in the Wild: A Novel Diverse Table Detection Dataset and Method
- 2019-12-24· 1 result
Big Transfer (BiT): General Visual Representation Learning
§ 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
pwc-dump
1
result
2 of 3 rows marked verified.