Codesota · Models · RCCAcademic1 results · 1 benchmarks
Model card

RCC.

Academicclustering

Robust Continuous Clustering. Designed for entangled data. Baseline reported in DPAC (ECCV 2024).

§ 02 · Benchmarks

Every benchmark RCC has a recorded score for.

#BenchmarkArea · TaskMetricValueRankDateSource
01pendigitsComputer Vision · Optical Character Recognitionaccuracy79.6%#5/82024-07-07source ↗
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 RCC actually performs.

Computer Vision
1
benchmark
avg rank #5.0
§ 04 · Papers

1 paper with results for RCC.

  1. 2024-07-07· Computer Vision· 1 result

    Deep Online Probability Aggregation Clustering

    Yuxuan Yan, Na Lu, Ruofan Yan
§ 05 · Related models

Other Academic models scored on Codesota.

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DNTextSpotter (ResNet-50)
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DNTextSpotter (ViTAEv2-S)
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IAST
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LRANet++
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LSGSpotter
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§ 06 · Sources & freshness

Where these numbers come from.

unknown
1
result
1 of 1 rows marked verified.