WorldExplorer performs agent-driven collection guided by training feedback, while a unified pipeline applies 14 deterministic quality checks, VLM-based assessment, and synchronized action and text annotation. We progressively distill a bidirectional action-conditioned teacher into a causal student through teacher forcing and ODE distillation, and introduce LongForcing to align long student self-rollouts with an extended-horizon teacher, mitigating accumulated distribution shift and autoregressive drift. Raw keyboard actions provide a unified control interface for scene roaming and third-person character interaction, while reference-character memory provides persistent appearance cues for identity consistency during third-person rollouts.

November 23, 2020 - Tracking the latest progress in Scene Text Detection and Recognition: Must-read papers well organized with code and dataset.

We introduce the structured scene-text spotting task, which requires a scene-text OCR system to spot text in the wild according to a query regular expression. ... Contact us on: hello@paperswithcode.com .

WorldExplorer performs agent-driven collection guided by training feedback, while a unified pipeline applies 14 deterministic quality checks, VLM-based assessment, and synchronized action and text annotation. We progressively distill a bidirectional action-conditioned teacher into a causal student through teacher forcing and ODE distillation, and introduce LongForcing to align long student self-rollouts with an extended-horizon teacher, mitigating accumulated distribution shift and autoregressive drift. Raw keyboard actions provide a unified control interface for scene roaming and third-person character interaction, while reference-character memory provides persistent appearance cues for identity consistency during third-person rollouts.

Code · Multi-oriented text detection with fully convolutional networks (MOTD) segmentation-based · FCN · 2017 · CVPR · Paper · Scene text detection via holistic, multi-channel prediction (STDH) segmentation-based · FCN · 2017 · arXiv · Paper · Detecting oriented text in natural images by linking segments (SegLink) regression-based ·

Scene text recognition is the process of identifying and transcribing text in natural scenes using computer vision techniques. Browse open-source code and papers on Scene Text Recognition to catalyze your projects, and easily connect with engineers and experts when you need help.

June 3, 2022 - From: Shangbang Long [view email] [v1] Mon, 28 Mar 2022 23:35:45 UTC (5,003 KB) [v2] Fri, 3 Jun 2022 05:09:13 UTC (5,005 KB) ... View a PDF of the paper titled Towards End-to-End Unified Scene Text Detection and Layout Analysis, by Shangbang ...

[38] C. Wang, F. Yin and C. Liu, Scene Text Detection with Novel Superpixel Based Character Candidate Extraction. in 2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR), 2017, pp. 929-934. Paper · [39] Sheng Zhang, Yuliang Liu, Lianwen Jin et al. Feature Enhancement Network: A Refined Scene Text Detector. In AAAI 2018. Paper · [40] Dan Deng et al. PixelLink: Detecting Scene Text via Instance Segmentation. In AAAI 2018. Paper Code

TextBoxes: A Fast Text Detector with a Single Deep Neural Network. Liao, Minghui and Shi, Baoguang and Bai, Xiang and Wang, Xinggang and Liu, Wenyu. AAAI, 2017 [paper] [code] EAST: An Efficient and Accurate Scene Text Detector. Zhou, Xinyu and Yao, Cong and Wen, He and Wang, Yuzhi and Zhou, Shuchang and He, Weiran and Liang, Jiajun.

If the reported score in leader-board is somewhat different from the paper, (L) is provided. *CODE means official code and CODE(M) means that traiend model is provided. ... Multi-scale FCN with Cascaded Instance Aware Segmentation for Arbitrary Oriented Word Spotting In The Wild ... IncepText: A New Inception-Text Module with Deformable PSROI Pooling for Multi-Oriented Scene Text Detection

[2018-AAAI] PixelLink: Detecting Scene Text via Instance Segmentation [paper] [code]

[2016-CVPR] Multi-oriented text detection with fully convolutional networks paper · [2015-CoRR] An End-to-End Trainable Neural Network for Image-based Sequence Recognition and Its Application to Scene Text Recognition paper code github

dataset text-recognition text-detection ... scene-text-recognition icdar2021 ... Code for the paper "MASTER: Multi-Aspect Non-local Network for Scene Text Recognition" (Pattern Recognition 2021)...

Additionally, we have designed a new labeling generation method specifically for ODM and combined it with our proposed Text-Controller module to address the challenge of annotation costs in OCR tasks, allowing a larger amount of unlabeled data to participate in pre-training. Extensive experiments on multiple public datasets demonstrate that our method significantly improves performance and outperforms current pre-training methods in scene text detection and spotting tasks. Code is available at {https://github.com/PriNing/ODM}.

used for scene text detection and character recognition are · predicated on cleverly engineered systems specific to the · new task. For text detection, for instance, solutions have · ranged from simple off-the-shelf classifiers trained on hand- coded features [10] to multi-stage pipelines ...

July 30, 2018 - [2014-ECCV, M. Jaderberg] Deep Features for Text Spotting paper code model GitXiv · [2014-NIPS, M. Jaderberg] Synthetic Data and Artificial Neural Networks for Natural Scene Text Recognition paper homepage model · [2016-arXiv] Accurate Text Localization in Natural Image with Cascaded Convolutional Text Network paper · [2016-AAAI] Reading Scene Text in Deep Convolutional Sequences paper · [2016-TIP] Text-Attentional Convolutional Neural Networks for Scene Text Detection paper

IEEE, 2012: 3538-3545. code:[code] Mishra A, Alahari K, Jawahar C V. Top-down and bottom-up cues for scene text recognition[C]//Computer Vision and Pattern Recognition (CVPR), 2012 IEEE Conference on. IEEE, 2012: 2687-2694. Yin X C, Yin X, Huang K, et al. Robust text detection in natural scene images[J]. IEEE transactions on pattern analysis and machine intelligence, 2014, 36(5): 970-983.

January 22, 2025 - Hands-on Tutorials Detecting and Recognizing texts for a given natural scene image using EAST and Tesseract Algorithms. Image By Paritosh Mahto This Article Includes: 1.Introduction 2.Real World Problem 2.1 Description 2.2 Problem Statement 2.3 Bussiness Objectives and Constraints 3.Datasets Available for Text Detection And Recognition 3.1 Dataset Overview & Description 4.Exploratory Data Analysis(EDA) 5.Methods of […]

[74] [MultiMedia-2018] S. Fang, H. Xie, Z.-J. Zha, N. Sun, J. Tan, and Y. Zhang, “Attention and language ensemble for scene text recognition with convolutional sequence modeling,” in ACM Multimedia Conference on Multimedia Conference, 2018, pp. 248–256. paper code

Tracking the latest progress in Scene Text Detection and Recognition: Must-read papers well organized