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• 经典模型
• 目标检测相关
• 文字检测与识别细分
• 链接下载

 

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• 经典模型：

• • AlexNet：AlexNet——【NIPS2012】 Imagenet classification with deep convolutional neural networks
  • GoogleNet：GoogleNet——【CVPR2015】Going Deeper with Convolutions
  • ResNet：ResNet——【arXiv2015】Deep Residual Learning for Image Recognition
  • ResNeXt：ResNeXt——【arXiv2016】Aggregated Residual Transformations for Deep Neural Networks
  • VGG16：VGG16——【arXiv2015】Very Deep Convolutional Networks for Large-Scale Image Recognition

• 目标检测相关：

• • R-CNN：R-CNN——【CVPR2014】Rich feature hierarchies for accurate object detection and semantic segmentation
  • SPP：SPP——【ECCV2014】Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
  • Multibox：Multibox——【CVPR2014】Scalable Object Detection using Deep Neural Networks
  • Fast R-CNN：Fast R-CNN——【ICCV2015】Fast R-CNN
  • Faster R-CNN：Faster RCNN——【NIPS2015】Faster R-CNN_Towards Real-Time Object Detection with Region Proposal Networks
  • R-FCN：R-FCN——【arXiv2016】R-FCN Object Detection via Region-based Fully Convolutional Networks
  • SSD：SSD——【ECCV2016】SSD Single Shot MultiBox Detector
  • YOLO：YOLO——【CVPR2016】You Only Look Once_Unified Real-Time Object Detection
  • Mask R-CNN：Mask R-CNN——【arXiv2017】Mask R-CNN

• 文字检测与识别细分：

• • 综述
    • Qixiang Ye——【PAMI2015】Text detection and recognition in imagery_A survey
    • Xiang Bai——【arXiv2015】Scene Text Detection and Recognition_Recent Advances and Future Trends
  • 白翔
    • 检测
      • XiangBai——【CVPR2012】Detecting Texts of Arbitrary Orientations in Natural Images
      • XiangBai——【CVPR2015】Symmetry-Based Text Line Detection in Natural Scenes
      • XiangBai——【CVPR2016】Multi-Oriented Text Detection with Fully Convolutional Networks
      • XiangBai——【arXiv2016】Scene Text Detection via Holistic, Multi-Channel Prediction
      • Xiang Bai——【CVPR2017】Detecting Oriented Text in Natural Images by Linking Segments
      • XiangBai——【AAAI2017】TextBoxes_A Fast Text Detector with a Single Deep Neural Network
    • 识别
      • XiangBai——【TIP2015】Strokelets_ A Learned Multi-Scale Mid-Level Representation for Scene Text Recognition
      • XiangBai——【CVPR2016】Robust Scene Text Recognition with Automatic Rectification
    • 端到端
      • XiangBai——【TIP2014】A Unified Framework for Multi-Oriented Text Detection and Recognition
      • XiangBai——【CoRR2015】An End-to-End Trainable Neural Network for Image-based Sequence Recognition and Its Application to Scene Text Recognition
    • 综述
      • Xiang Bai——【arXiv2015】Scene Text Detection and Recognition_Recent Advances and Future Trends
  • 黄伟林
    • 检测
      • Weilin Huang——【ICCV2013】Text localization in natural images using stroke feature transform and text covariance descriptors
      • Weilin Huang——【ECCV2014】Robust Scene Text Detection with Convolution Neural Network Induced MSER Trees
      • Weilin Huang——【TIP2016】Text-Attentional Convolutional Neural Networks for Scene Text Detection
      • Weilin Huang——【arXiv2016】Accurate Text Localization in Natural Image with Cascaded Convolutional Text Network
      • Weilin Huang——【ECCV2016】Detecting Text in Natural Image with Connectionist Text Proposal Network
    • 识别
      • Weilin Huang——【AAAI2016】Reading Scene Text in Deep Convolutional Sequences
  • 金连文
    • Lianwen Jin——【aixiv2016】DeepText A Unified Framework for Text Proposal Generation and Text Detection in Natural Images
    • Lianwen Jin——【CVPR2017】Deep Matching Prior Network Toward Tighter Multi-oriented Text Detection
  • 刘成林
    • Yi-Feng Pan——【IAPR2008】A Robust System to Detect and Localize Texts in Natural Scene Images
    • Yi-Feng Pan——【ICDAR2009】Text Localization in Natural Scene Images based on Conditional Random Field
    • Yi-Feng Pan——【TIP2011】A Hybrid Approach to Detect and Localize Texts in Natural Scene Images
  • 殷绪成
    • Xu-Cheng Yin——【PAMI2014】Robust Text Detection in Natural Scene Images
    • Xu-Cheng Yin——【PAMI2015】Multi-orientation scene text detection with adaptive clustering
  • VGG
    • Max Jaderberg——【arXiv2014】Reading Text in the Wild with Convolutional Neural Networks
    • Max Jaderberg——【arXiv2014】Synthetic Data and Artificial Neural Networks for Natural Scene Text Recognition
    • Max Jaderberg——【ECCV2014】Deep Features for Text Spotting
  • Lukas Neumann
    • Lukas Neumann——【ACCV2010】A method for text localization and recognition in real-world images
    • Lukas Neumann——【ICDAR2011】Text Localization in Real-world Images using Efficiently Pruned Exhaustive Search
    • Lukas Neumann——【CVPR2012】Real-Time Scene Text Localization and Recognition
    • Lukas Neumann——【ICCV2013】Scene text localization and recognition with oriented stroke detection
    • Lukas Neumann——【ICDAR2013】On Combining Multiple Segmentations in Scene Text Recognition
    • Lukas Neuman——【ICCV2015】Fastext_Efficient unconstrained scene text detector
    • Lukas Neumann——【ICDAR2015】Efficient Scene Text Localization and Recognition with Local Character Refinement
    • Lukas Neuman——【PAMI2015】Real-time Lexicon-free Scene Text Localization and Recognition
    • Lukas Neumann——【arXiv2016】COCO-Text Dataset and Benchmark for Text detection and recognition in Natural Images
  • Hojin Cho
    • Hojin Cho——【ICDAR2015】Scene TextDetection with Robust Character Candidate Extraction Method
    • Hojin Cho——【CVPR2016】Canny Text Detector_Fast and Robust Scene Text Localization Algorithm
  • Chucai Yi
    • Chucai Yi——【TIP2011】Text String Detection From Natural Scenes by Structure-Based Partition and Grouping
    • Chucai Yi——【TIP2012】Localizing Text in Scene Images by Boundary Clustering, Stroke Segmentation, and String Fragment Classification
    • Chucai Yi——【CVIU2013】Text Extraction from Scene Images by Character Appearance and Structure Modeling
    • Chucai Yi——【ICDAR2013】Feature Representations for Scene Text Character Recognition A Comparative Study
  • Anand Mishra
    • Anand Mishra——【ICDAR2011】An MRF model for binarization of natural scene text
    • Anand Mishra——【CVPR2012】Top-down and bottom-up cues for scene text recognition
    • Anand Mishra——【BMVC2012】Scene Text Recognition using Higher Order Language Priors
    • Anand Mishra——【ICCV2013】Image Retrieval using Textual Cues
    • Anand Mishra——【ICDAR2013】Whole is greater than sum of parts_Recognizing scene text words
  • KaiWang
    • Kai Wang——【ECCV2010】Word Spotting in the Wild
    • Kai Wang——【ICCV2011】End-to-End Scene Text Recognition
  • TaoWang
    • Adam Coates——【ICDAR2011】Text Detection and Character Recognition in Scene Images with Unsupervised Feature Learning
    • Tao Wang——【ICPR2012】End-to-End Text Recognition with Convolutional Neural Networks
  • ICDAR等标准
    • ICDAR 2003 Robust Reading Competitions
    • ICDAR 2005 Text Locating Competition Results
    • ICDAR 2011 Robust Reading Competition Challenge 2 Reading Text in Scene Images
    • ICDAR 2013 Robust Reading Competition
    • ICDAR 2015 Competition on Robust Reading
    • ICDAR2015 Competition on Incidental Scene Text Understanding
    • The pascal visual object classes (voc) challenge