Binarization
150 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
Binary domain generalization for sparsifying binary neural networks
Binary neural networks (BNNs) are an attractive solution for developing and deploying deep neural network (DNN)-based applications in resource constrained devices.
Feature Mixing for Writer Retrieval and Identification on Papyri Fragments
marco-peer/hip23
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This paper proposes a deep-learning-based approach to writer retrieval and identification for papyri, with a focus on identifying fragments associated with a specific writer and those corresponding to the same image.
CCDWT-GAN: Generative Adversarial Networks Based on Color Channel Using Discrete Wavelet Transform for Document Image Binarization
abcpp12383/threestagebinarization
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This work compares the performance of the proposed method with other state-of-the-art (SOTA) methods on DIBCO and H-DIBCO ((Handwritten) Document Image Binarization Competition) datasets.
Binarized Spectral Compressive Imaging
caiyuanhao1998/MST
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NeurIPS 2023
Finally, our BiSRNet is derived by using the proposed techniques to binarize the base model.
GSB: Group Superposition Binarization for Vision Transformer with Limited Training Samples
imrl/gsb-vision-transformer
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Compared with the full-precision one, the model with the binarization method replaces complex tensor multiplication with simple bit-wise binary operations and represents full-precision model parameters and activations with only 1-bit ones, which potentially solves the problem of model size and computational complexity, respectively.
$\partial\mathbb{B}$ nets: learning discrete functions by gradient descent
z80coder/db-nets
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We train the soft-net by backpropagation and then `harden' the learned weights to yield boolean weights that bind with the hard-net.
Shadow Removal of Text Document Images Using Background Estimation and Adaptive Text Enhancement
Thirdly, we propose an adaptive text contrast enhancement strategy to generate shadow-free results with comfortable visual perception across shadow and non-shadow regions.
Arrhythmia Classifier Based on Ultra-Lightweight Binary Neural Network
xpww/ecg_bnn_net
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With the development of deep learning, numerous ECG classification algorithms based on deep learning have emerged.
Knowledge Distillation for Feature Extraction in Underwater VSLAM
This paper proposes a cross-modal knowledge distillation framework for training an underwater feature detection and matching network (UFEN).
Binary Embedding-based Retrieval at Tencent
ganyk/bebr
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To tackle the challenge, we propose a binary embedding-based retrieval (BEBR) engine equipped with a recurrent binarization algorithm that enables customized bits per dimension.
