Codesota · Models · HAT-BARTUnknown3 results · 1 benchmarks
Model card

HAT-BART.

UnknownunknownUnknown paramsUnknown

Imported from Papers With Code

§ 01 · Benchmarks

Every benchmark HAT-BART has a recorded score for.

#BenchmarkArea · TaskMetricValueRankDateSource
01cnn-/-daily-mailComputer Vision · Optical Character Recognitionrouge-l41.5%#7/332021-04-15source ↗
02cnn-/-daily-mailComputer Vision · Optical Character Recognitionrouge-144.5%#9/332021-04-15source ↗
03cnn-/-daily-mailComputer Vision · Optical Character Recognitionrouge-221.3%#11/332021-04-15source ↗
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 HAT-BART actually performs.

Computer Vision
1
benchmark
avg rank #9.0
§ 03 · Papers

1 paper with results for HAT-BART.

  1. 2021-04-15· Computer Vision· 3 results

    Hierarchical Learning for Generation with Long Source Sequences

§ 04 · Related models

Other Unknown models scored on Codesota.

fglihai
Unknown params · 6 results · 1 SOTA
CLIP4STR-L
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USYD NLP_CS29-2
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Corner-based Region Proposals
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EAST + VGG16
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SSTD
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TextBoxes++_MS
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WordSup (VGG16-synth-coco)
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§ 05 · Sources & freshness

Where these numbers come from.

papers-with-code
3
results
3 of 3 rows marked verified.