HyperAI
HyperAI초신경
홈
뉴스
최신 연구 논문
튜토리얼
데이터셋
백과사전
SOTA
LLM 모델
GPU 랭킹
컨퍼런스
전체 검색
소개
한국어
HyperAI
HyperAI초신경
Toggle sidebar
전체 사이트 검색...
⌘
K
홈
SOTA
장면 텍스트 검출
Scene Text Detection On Total Text
Scene Text Detection On Total Text
평가 지표
F-Measure
FPS
Precision
Recall
평가 결과
이 벤치마크에서 각 모델의 성능 결과
Columns
모델 이름
F-Measure
FPS
Precision
Recall
Paper Title
Repository
DPText-DETR (ResNet-50)
89.0%
17
91.8%
86.4%
DPText-DETR: Towards Better Scene Text Detection with Dynamic Points in Transformer
-
FAST-T-448
81.6%
152.8
86.5
77.2
FAST: Faster Arbitrarily-Shaped Text Detector with Minimalist Kernel Representation
-
Ch,ng et al.
36.0%
-
40.0
33.0
Total-Text: A Comprehensive Dataset for Scene Text Detection and Recognition
-
PSENet-4s
79.6%
-
84.5
75.2
Shape Robust Text Detection with Progressive Scale Expansion Network
-
CharNet H-88
85.6%
-
89.9
81.7
Convolutional Character Networks
-
CRAFT
83.6%
-
87.6
79.9
Character Region Awareness for Text Detection
-
Mask TextSpotter
61.3%
-
69
55
Mask TextSpotter: An End-to-End Trainable Neural Network for Spotting Text with Arbitrary Shapes
-
EAST
42.0%
-
50.0
36.2
EAST: An Efficient and Accurate Scene Text Detector
-
DB-ResNet-50 (800)
84.7%
-
-
-
Real-time Scene Text Detection with Differentiable Binarization
-
TextFuseNet (ResNeXt-101)
87.5%
-
89.2
85.8
TextFuseNet: Scene Text Detection with Richer Fused Features
CharNet H-88 (multi-scale)
86.5%
-
88
85
Convolutional Character Networks
-
FAST-B-512
85.8%
93.2
89.6
82.4
FAST: Faster Arbitrarily-Shaped Text Detector with Minimalist Kernel Representation
-
FAST-S-512
84.9%
115.5
88.3
81.7
FAST: Faster Arbitrarily-Shaped Text Detector with Minimalist Kernel Representation
-
SRFormer (ResNet-50)
90.0%
-
92.2%
87.9%
SRFormer: Text Detection Transformer with Incorporated Segmentation and Regression
-
FTSN
81.3%
-
84.7
78
Fused Text Segmentation Networks for Multi-oriented Scene Text Detection
-
TextFiled
80.6%
-
81.2
79.9
TextField: Learning A Deep Direction Field for Irregular Scene Text Detection
-
TextSnake
78.4%
-
82.7
74.5
TextSnake: A Flexible Representation for Detecting Text of Arbitrary Shapes
-
TextCohesion
84.6%
-
-
-
TextCohesion: Detecting Text for Arbitrary Shapes
-
MixNet
90.5%
15.2
93.0
88.1
MixNet: Toward Accurate Detection of Challenging Scene Text in the Wild
-
SPCNET
82.9%
-
83
82.8
Scene Text Detection with Supervised Pyramid Context Network
-
0 of 27 row(s) selected.
Previous
Next
Scene Text Detection On Total Text | SOTA | HyperAI초신경