https://github.com/99franklin/difftext
공식 코드Enhancing Scene Text Detectors with Realistic Text Image Synthesis Using Diffusion Models
Papers with Code 아카이브
Scene Text Detection
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Scene Text Detection is a computer vision task that involves automatically identifying and localizing text within natural images or videos. The goal of scene text detection is to develop algorithms that can robustly detect and and label text with bounding boxes in uncontrolled and complex environments, such as street signs, billboards, or license plates.
Source: ContourNet: Taking a Further Step toward Accurate Arbitrary-shaped Scene Text Detection
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/AlibabaResearch/AdvancedLiterateMachinery/tree/main/OCR/VLPT-STD
공식 코드Vision-Language Pre-Training for Boosting Scene Text Detectors
https://github.com/Bartzi/see
공식 코드SEE: Towards Semi-Supervised End-to-End Scene Text Recognition
https://github.com/Bartzi/stn-ocr
공식 코드STN-OCR: A single Neural Network for Text Detection and Text Recognition
https://github.com/D641593/MixNet
공식 코드MixNet: Toward Accurate Detection of Challenging Scene Text in the Wild
https://github.com/HCIILAB/DeRPN
공식 코드DeRPN: Taking a further step toward more general object detection
https://github.com/Jyouhou/Case-Sensitive-Scene-Text-Recognition-Datasets
공식 코드UnrealText: Synthesizing Realistic Scene Text Images from the Unreal World
https://github.com/Jyouhou/ICDAR2019-ArT-Recognition-Alchemy
공식 코드https://github.com/Jyouhou/UnrealText
공식 코드UnrealText: Synthesizing Realistic Scene Text Images from the Unreal World
https://github.com/LianaWang/TextRay
공식 코드TextRay: Contour-based Geometric Modeling for Arbitrary-shaped Scene Text Detection
https://github.com/MhLiao/DB
공식 코드Real-time Scene Text Detection with Differentiable Binarization
https://github.com/MhLiao/SynthText3D
공식 코드SynthText3D: Synthesizing Scene Text Images from 3D Virtual Worlds
https://github.com/MhLiao/TextBoxes_plusplus
공식 코드https://github.com/PaddlePaddle/PaddleOCR
공식 코드PGNet: Real-time Arbitrarily-Shaped Text Spotting with Point Gathering Network
https://github.com/Wei-ucas/TPSNet
공식 코드TPSNet: Reverse Thinking of Thin Plate Splines for Arbitrary Shape Scene Text Representation
https://github.com/YukangWang/TextField
공식 코드TextField: Learning A Deep Direction Field for Irregular Scene Text Detection
https://github.com/Yuliang-Liu/Box_Discretization_Network
공식 코드Omnidirectional Scene Text Detection with Sequential-free Box Discretization
https://github.com/Yuliang-Liu/Curve-Text-Detector
공식 코드Detecting Curve Text in the Wild: New Dataset and New Solution
https://github.com/Yuliang-Liu/TIoU-metric
공식 코드Tightness-aware Evaluation Protocol for Scene Text Detection
https://github.com/aim-uofa/AdelaiDet
공식 코드ABCNet: Real-time Scene Text Spotting with Adaptive Bezier-Curve Network
https://github.com/alibabaresearch/advancedliteratemachinery
공식 코드DocXChain: A Powerful Open-Source Toolchain for Document Parsing and Beyond
https://github.com/alloydas/testr_eval
공식 코드https://github.com/anindya2001/GSCEventMOD
공식 코드Moving Object Detection for Event-based vision using Graph Spectral Clustering
https://github.com/bigvideoresearch/GNNets
공식 코드Geometry Normalization Networks for Accurate Scene Text Detection
https://github.com/chongshengzhang/shopsign
공식 코드ShopSign: a Diverse Scene Text Dataset of Chinese Shop Signs in Street Views
https://github.com/chunchet-ng/text-in-the-dark
공식 코드Text in the Dark: Extremely Low-Light Text Image Enhancement
https://github.com/clovaai/TedEval
공식 코드https://github.com/cs-chan/Total-Text-Dataset
공식 코드Total-Text: A Comprehensive Dataset for Scene Text Detection and Recognition
https://github.com/cvc-dag/step
공식 코드https://github.com/czczup/FAST
공식 코드FAST: Faster Arbitrarily-Shaped Text Detector with Minimalist Kernel Representation
https://github.com/emanuel-metzenthin/rl-scene-text-detection
공식 코드Weakly Supervised Scene Text Detection using Deep Reinforcement Learning
https://github.com/fadilaw/swahili-str-dataset
공식 코드The First Swahili Language Scene Text Detection and Recognition Dataset
https://github.com/fh2019ustc/polysnake
공식 코드Recurrent Generic Contour-based Instance Segmentation with Progressive Learning
https://github.com/furkanbiten/SelectiveTextStyleTransfer
공식 코드https://github.com/google-research-datasets/hiertext
공식 코드Towards End-to-End Unified Scene Text Detection and Layout Analysis
https://github.com/gxym/textpms
공식 코드Arbitrary Shape Text Detection via Segmentation with Probability Maps
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.