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

Compressive Autoencoder.

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

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

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

Pytorch implementation of BiFSMNv2, TNNLS 2023

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

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

Maximum entropy named-entity recognition (NER)

OCR-D compliant toolset for optical layout recognition on historical german-language documents published in Brazil

PyTorch implementation of the paper: Insights on the Use of Convolutional Neural Networks for Document Image Binarization

The official repository for the paper LAB: Learnable Activation Binarizer for Binary Neural Networks.

image binarization with the Xdog filter

PROFILE RNA-seq binarization technique.

Image Segmentation implemented in Python.

Unsupervised neural domain adaptation for document image binarization

Official implementation for paper "Learning Discrete Sentence Representations via Construction & Decomposition".