Model card
Faster R-CNN.
Microsoft Researchopen-sourceUnknown paramsUnknown
Imported from Papers With Code
§ 01 · Benchmarks
Every benchmark Faster R-CNN has a recorded score for.
| # | Benchmark | Area · Task | Metric | Value | Rank | Date | Source |
|---|---|---|---|---|---|---|---|
| 01 | document-layout-recognition-challenge-mini-dev | Computer Vision · Document Layout Analysis | title | 0.9% | #1 | — | |
| 02 | document-layout-recognition-challenge-mini-dev | Computer Vision · Document Layout Analysis | list | 1.0% | #1 | — | |
| 03 | document-layout-recognition-challenge-mini-dev | Computer Vision · Document Layout Analysis | figure | 1.0% | #2 | — | |
| 04 | document-layout-recognition-challenge-mini-dev | Computer Vision · Document Layout Analysis | overall | 0.9% | #2 | — | |
| 05 | document-layout-recognition-challenge-mini-dev | Computer Vision · Document Layout Analysis | table | 1.0% | #2 | — | |
| 06 | document-layout-recognition-challenge-mini-dev | Computer Vision · Document Layout Analysis | text | 0.9% | #2 | — | |
| 07 | document-layout-recognition-challenge-test | Computer Vision · Document Layout Analysis | text | 0.9% | #3 | — | source ↗ |
| 08 | document-layout-recognition-challenge-test | Computer Vision · Document Layout Analysis | figure | 0.9% | #3 | — | source ↗ |
| 09 | document-layout-recognition-challenge-test | Computer Vision · Document Layout Analysis | list | 0.9% | #3 | — | source ↗ |
| 10 | document-layout-recognition-challenge-test | Computer Vision · Document Layout Analysis | overall | 0.9% | #3 | — | source ↗ |
| 11 | document-layout-recognition-challenge-test | Computer Vision · Document Layout Analysis | table | 0.9% | #3 | — | source ↗ |
| 12 | document-layout-recognition-challenge-test | Computer Vision · Document Layout Analysis | title | 0.8% | #3 | — | source ↗ |
| 13 | COCO | Computer Vision · Object Detection | box-map | 37.4% | #11 | 2015-06-04 | source ↗ |
| 14 | publaynet-val | Computer Vision · Document Layout Analysis | figure | 0.9% | #13 | 2019-08-16 | source ↗ |
| 15 | publaynet-val | Computer Vision · Document Layout Analysis | list | 0.9% | #13 | 2019-08-16 | source ↗ |
| 16 | publaynet-val | Computer Vision · Document Layout Analysis | overall | 0.9% | #13 | 2019-08-16 | source ↗ |
| 17 | publaynet-val | Computer Vision · Document Layout Analysis | text | 0.9% | #13 | 2019-08-16 | source ↗ |
| 18 | publaynet-val | Computer Vision · Document Layout Analysis | title | 0.8% | #13 | 2019-08-16 | source ↗ |
| 19 | publaynet-val | Computer Vision · Document Layout Analysis | table | 1.0% | #14 | 2019-08-16 | 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 Faster R-CNN actually performs.
§ 03 · Papers
1 paper with results for Faster R-CNN.
- 2019-08-16· Computer Vision· 6 results
PubLayNet: largest dataset ever for document layout analysis
§ 04 · Related models
Other Microsoft Research models scored on Codesota.
Swin-L (Cascade R-CNN)
1 result
DiT-L (Cascade R-CNN)
Unknown params · 0 results
Faster R-CNN (VGG-16)
~137M params · 0 results
LayoutLMv3-Large
Unknown params · 0 results
NaturalSpeech
N/A params · 0 results
NaturalSpeech 3
Unknown params · 0 results
SwinV2-G
0 results
ViT-Adapter-L (BEiT-3)
Unknown params · 0 results
§ 05 · Sources & freshness
Where these numbers come from.
papers-with-code
12
results
ICDAR 2019 RDCL2019 Competition
6
results
editorial
1
result
18 of 19 rows marked verified. · first result 2015-06-04, latest 2019-08-16.