deep-text-recognition-benchmark
Text Recognition Benchmark
Provides a benchmarking framework and implementation for deep learning-based text recognition models
Text recognition (optical character recognition) with deep learning methods, ICCV 2019
4k stars
84 watching
1k forks
Language: Jupyter Notebook
last commit: 9 months ago crnndeep-learninggrcnniccv2019ocrocr-recognitionr2amrarerecognitionrosettascene-textscene-text-recognitionstar-nettext-recognition
Related projects:
Repository | Description | Stars |
---|---|---|
shenweichen/deepctr-torch | A PyTorch-based package for building and training click-through rate models using various deep learning architectures. | 3,023 |
brightmart/text_classification | An NLP project offering various text classification models and techniques for deep learning exploration | 7,861 |
donnyyou/torchcv | A comprehensive PyTorch-based framework for computer vision tasks | 2,250 |
kaiminghe/deep-residual-networks | Original models for deep residual networks as described in a 2015 research paper, implemented using Caffe. | 6,446 |
leoxiaobin/deep-high-resolution-net.pytorch | An implementation of a deep learning network for human pose estimation using high-resolution representations | 4,327 |
clovaai/stargan-v2 | A Python implementation of an image-to-image translation model for generating diverse images across multiple domains. | 3,500 |
dinghanshen/swem | A software project that implements word embedding-based models for text classification tasks and provides pre-trained embeddings and evaluation scripts. | 284 |
canjie-luo/moran_v2 | A deep learning framework for scene text recognition with rectification and attention mechanisms. | 636 |
pytorch/captum | Provides tools and algorithms to understand how machine learning models make predictions | 4,931 |
ofa-sys/ofa | Develops a unified sequence-to-sequence learning framework to unify modalities and tasks through pretraining and fine-tuning | 2,419 |
chengzhag/deeppanocontext | A PyTorch-based framework for 3D scene understanding with holistic context graph and relation-based optimization in panoramic images | 89 |
mindee/doctr | A deep learning-based OCR library that enables efficient text parsing and recognition from documents | 3,859 |
alirezadir/production-level-deep-learning | A guide to building production-ready deep learning systems for real-world applications | 4,351 |
oyxhust/cnn-lstm-ctc-text-recognition | Develops CTC-based text recognition models with neural network architectures | 259 |
tianyi-lab/hallusionbench | An image-context reasoning benchmark designed to challenge large vision-language models and help improve their accuracy | 243 |