Codesota · Models · Transfer Learning from AlexNet, VGG-16, GoogLeNet and ResNet50Unknown1 results · 1 benchmarks
Model card
Transfer Learning from AlexNet, VGG-16, GoogLeNet and ResNet50.
UnknownunknownUnknown paramsUnknown
Imported from Papers With Code
§ 02 · Benchmarks
Every benchmark Transfer Learning from AlexNet, VGG-16, GoogLeNet and ResNet50 has a recorded score for.
| # | Benchmark | Area · Task | Metric | Value | Rank | Date | Source |
|---|---|---|---|---|---|---|---|
| 01 | rvl-cdip | Computer Vision · Document Image Classification | accuracy | 91.0% | #33 | 2017-04-11 | 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 Transfer Learning from AlexNet, VGG-16, GoogLeNet and ResNet50 actually performs.
§ 04 · Papers
1 paper with results for Transfer Learning from AlexNet, VGG-16, GoogLeNet and ResNet50.
- 2017-04-11· Computer Vision· 1 result
Cutting the Error by Half: Investigation of Very Deep CNN and Advanced Training Strategies for Document Image Classification
§ 05 · Related models
Other Unknown models scored on Codesota.
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§ 06 · Sources & freshness
Where these numbers come from.
papers-with-code
1
result
1 of 1 rows marked verified.