Scene Text Recognition On Svt

Metriken

Accuracy

Ergebnisse

Leistungsergebnisse verschiedener Modelle zu diesem Benchmark

Vergleichstabelle

Modellname	Accuracy
clip4str-a-simple-baseline-for-scene-text-1	98.5
cdistnet-perceiving-multi-domain-character	93.82
robust-scene-text-recognition-with-automatic	81.9
a-glyph-driven-topology-enhancement-network	95.1
cstr-a-classification-perspective-on-scene	90.6
clip4str-a-simple-baseline-for-scene-text-1	98.3
clip4str-a-simple-baseline-for-scene-text-1	99.1
multi-modal-text-recognition-networks	95
seed-semantics-enhanced-encoder-decoder	89.6
self-supervised-character-to-character	97.8
self-supervised-character-to-character	96.4
diffusionstr-diffusion-model-for-scene-text	93.6
representation-and-correlation-enhanced	91.8
visual-semantics-allow-for-textual-reasoning-1	95.8
towards-accurate-scene-text-recognition-with	91.5
look-back-again-dual-parallel-attention	93.9
clip4str-a-simple-baseline-for-scene-text-1	98.6
tps-attention-enhanced-thin-plate-spline-for	94.6
star-net-a-spatial-attention-residue-network	83.6
an-empirical-study-of-scaling-law-for-ocr	98.76
scene-text-recognition-from-two-dimensional	86.4
dtrocr-decoder-only-transformer-for-optical	98.9
what-is-wrong-with-scene-text-recognition	87.5
multi-granularity-prediction-for-scene-text	98.6
self-supervised-character-to-character	96.0
synthetic-data-and-artificial-neural-networks	68.0
context-perception-parallel-decoder-for-scene	98.5
scene-text-recognition-with-permuted	97.9±0.2
on-recognizing-texts-of-arbitrary-shapes-with	91.3
why-you-should-try-the-real-data-for-the	94.7
textscanner-reading-characters-in-order-for	90.1
aster-an-attentional-scene-text-recognizer	89.5
vision-transformer-for-fast-and-efficient	87.7
an-end-to-end-trainable-neural-network-for	80.8
safl-a-self-attention-scene-text-recognizer-1	88.6
show-attend-and-read-a-simple-and-strong	84.5
decoupled-attention-network-for-text	89.2