binarization

ScanTailor Advanced is the version that merges the features of the ScanTailor Featured and ScanTailor Enhanced versions, brings new ones and fixes.

Document Layout Analysis

This repository contains a paper collection of the methods for document image processing, including appearance enhancement, deshadowing, dewarping, deblurring, binarization and so on.

[ICML 2024] BiLLM: Pushing the Limit of Post-Training Quantization for LLMs

A Local Adaptive Thresholding framework for image binarization written in C++, with JS, Python and MATLAB bindings. Implementing: Otsu, Bernsen, Niblack, Bradley, Sauvola, Wolf, Gatos, NICK, Su, T.R. Singh, WAN, ISauvola, Feng, Phansalkar, AdOtsu, along with DRDM and all Pseudo Merics.

Compressive AutoEncoder.

[CVPR 2020] This project is the PyTorch implementation of our accepted CVPR 2020 paper : forward and backward information retention for accurate binary neural networks.

Orchestra is a sheet music reader (optical music recognition (OMR) system) that converts sheet music to a machine-readable version.

This project is the official implementation of our accepted ICLR 2022 paper BiBERT: Accurate Fully Binarized BERT.

Document Image Binarization

Some recent Quantizing techniques on PyTorch

Clean, deskew, and enhance photographed or scanned PDFs and images into crisp, high-contrast documents locally.

ShabbyPages is a state-of-the-art corpus of born-digital document images with both ground truth and distorted versions appropriate for use in training models to reverse distortions and recover to original denoised documents.

[ICML 2023] This project is the official implementation of our accepted ICML 2023 paper BiBench: Benchmarking and Analyzing Network Binarization.

This repository contains source code to binarize any real-value word embeddings into binary vectors.

[NeurIPS 2023] This project is the official implementation of our accepted NeurIPS 2023 paper BiMatting: Efficient Video Matting via Binarization.

Improving Document Binarization via Adversarial Noise-Texture Augmentation (ICIP 2019)

Pytorch implementation of BiFSMNv2, TNNLS 2023

a selective binarization and re-encoding program to prepare scanned books for pleasant reading on E-ink readers

BGEMM-CUDA is a CUDA-based low-bit GEMM kernel library for efficient neural network inference. It implements optimized binary and ternary matrix multiplication primitives, including binary-weight and ternary-activation computation, with PyTorch extension support for model-level integration.