Binarization
147 papers with code • 16 benchmarks • 17 datasets
Benchmarks
These leaderboards are used to track progress in Binarization
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Libraries
Use these libraries to find Binarization models and implementationsDatasets
CIFAR-10
ImageNet
CIFAR-100
JHU-CROWD
FDST
Latest papers
NAF-DPM: A Nonlinear Activation-Free Diffusion Probabilistic Model for Document Enhancement
Real-world documents may suffer various forms of degradation, often resulting in lower accuracy in optical character recognition (OCR) systems.
BinaryDM: Towards Accurate Binarization of Diffusion Model
With the advancement of diffusion models (DMs) and the substantially increased computational requirements, quantization emerges as a practical solution to obtain compact and efficient low-bit DMs.
LUM-ViT: Learnable Under-sampling Mask Vision Transformer for Bandwidth Limited Optical Signal Acquisition
maxllf/lum-vit
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To tackle this hurdle, we introduce a novel approach leveraging pre-acquisition modulation to reduce the acquisition volume.
Neuromorphic Synergy for Video Binarization
We also develop an efficient integration method to propagate this binary image to high frame rate binary video.
BiLLM: Pushing the Limit of Post-Training Quantization for LLMs
Pretrained large language models (LLMs) exhibit exceptional general language processing capabilities but come with significant demands on memory and computational resources.
A Fair Evaluation of Various Deep Learning-Based Document Image Binarization Approaches
richsu95/document_binarization_collection
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We evaluate them on different Document Image Binarization Contest (DIBCO) datasets and obtain very heterogeneous results.
A foundation for exact binarized morphological neural networks
Training and running deep neural networks (NNs) often demands a lot of computation and energy-intensive specialized hardware (e. g. GPU, TPU...).
BiPFT: Binary Pre-trained Foundation Transformer with Low-rank Estimation of Binarization Residual Polynomials
Specifically, we first analyze the binarization error in self-attention operations and derive the polynomials of binarization error.
A Layer-Wise Tokens-to-Token Transformer Network for Improved Historical Document Image Enhancement
Instead of using a simple ViT and hard splitting of images for the document image enhancement task, we employed a progressive tokenization technique to capture this local information from an image to achieve more effective results.
Binarized 3D Whole-body Human Mesh Recovery
zhitengli/bidrn
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In this work, we propose a Binarized Dual Residual Network (BiDRN), a novel quantization method to estimate the 3D human body, face, and hands parameters efficiently.
