Codesota · Models · pil_maskrcnnICT, Chinese Academy of Sciences1 results · 1 benchmarks
Model card

pil_maskrcnn.

ICT, Chinese Academy of Sciencesopen-sourceUnknown paramsMask R-CNN based scene text detector

Winner of ICDAR 2019 ArT text detection task. Team from Institute of Computing Technology, CAS.

§ 01 · Benchmarks

Every benchmark pil_maskrcnn has a recorded score for.

#BenchmarkArea · TaskMetricValueRankDateSource
01ICDAR 2019 ArTComputer Vision · Scene Text Detectionf-measure82.7%#1/42019-09-16source ↗
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 pil_maskrcnn actually performs.

Computer Vision
1
benchmark
avg rank #1.0
§ 03 · Papers

1 paper with results for pil_maskrcnn.

  1. 2019-09-16· Computer Vision· 1 result

    ICDAR2019 Robust Reading Challenge on Arbitrary-Shaped Text (RRC-ArT)

§ 05 · Sources & freshness

Where these numbers come from.

arxiv
1
result
1 of 1 rows marked verified.