Codesota · Models · TransferDocUnknown1 results · 1 benchmarks
Model card

TransferDoc.

UnknownunknownUnknown paramsUnknown

Imported from Papers With Code

§ 02 · Benchmarks

Every benchmark TransferDoc has a recorded score for.

#BenchmarkArea · TaskMetricValueRankDateSource
01rvl-cdipComputer Vision · Document Image Classificationaccuracy93.2%#23/362023-09-11source ↗
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 TransferDoc actually performs.

Computer Vision
1
benchmark
avg rank #23.0
§ 04 · Papers

1 paper with results for TransferDoc.

  1. 2023-09-11· Computer Vision· 1 result

    GlobalDoc: A Cross-Modal Vision-Language Framework for Real-World Document Image Retrieval and Classification

§ 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
1
result
1 of 1 rows marked verified.