Binarization

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

17 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Most implemented papers archive 2025-07-28

30 shown of 184 papers with code (433 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks
  16 Mar 2016 20 repositories listed Syntology ran 7 of 18 samples · 11 unverified · 3 pointer-only (licence)
  We propose two efficient approximations to standard convolutional neural networks: Binary-Weight-Networks and XNOR-Networks.
• Real-time Scene Text Detection with Differentiable Binarization
  20 Nov 2019 15 repositories listed Syntology ran 3 of 25 samples · 22 unverified
  Recently, segmentation-based methods are quite popular in scene text detection, as the segmentation results can more accurately describe scene text of various shapes such as curve text.
• BiMLP: Compact Binary Architectures for Vision Multi-Layer Perceptrons
  29 Dec 2022 5 repositories listed
  This paper studies the problem of designing compact binary architectures for vision multi-layer perceptrons (MLPs).
• Real-Time Scene Text Detection with Differentiable Binarization and Adaptive Scale Fusion
  21 Feb 2022 5 repositories listed
  By incorporating the proposed DB and ASF with the segmentation network, our proposed scene text detector consistently achieves state-of-the-art results, in terms of both detection accuracy and speed, on five standard…
• DE-GAN: A Conditional Generative Adversarial Network for Document Enhancement
  17 Oct 2020 4 repositories listed
  Documents often exhibit various forms of degradation, which make it hard to be read and substantially deteriorate the performance of an OCR system.
• READ-BAD: A New Dataset and Evaluation Scheme for Baseline Detection in Archival Documents
  9 May 2017 4 repositories listed
  Well established text line segmentation evaluation schemes such as the Detection Rate or Recognition Accuracy demand for binarized data that is annotated on a pixel level.
• BiT: Robustly Binarized Multi-distilled Transformer
  25 May 2022 3 repositories listed Syntology ran 3 of 3 samples · 0 unverified · 3 pointer-only (licence)
  Modern pre-trained transformers have rapidly advanced the state-of-the-art in machine learning, but have also grown in parameters and computational complexity, making them increasingly difficult to deploy in…
• ReCU: Reviving the Dead Weights in Binary Neural Networks
  23 Mar 2021 3 repositories listed Syntology ran 2 of 3 samples · 1 unverified · 3 pointer-only (licence)
  We prove that reviving the "dead weights" by ReCU can result in a smaller quantization error.
• Adaptive Image Sampling using Deep Learning and its Application on X-Ray Fluorescence Image Reconstruction
  27 Dec 2018 3 repositories listed
  We propose an XRF image inpainting approach to address the issue of long scanning time, thus speeding up the scanning process while still maintaining the possibility to reconstruct a high quality XRF image.
• Towards the first adversarially robust neural network model on MNIST
  23 May 2018 3 repositories listed Syntology ran 0 of 10 samples · 10 unverified
  Despite much effort, deep neural networks remain highly susceptible to tiny input perturbations and even for MNIST, one of the most common toy datasets in computer vision, no neural network model exists for which…
• Binarized Convolutional Landmark Localizers for Human Pose Estimation and Face Alignment with Limited Resources
  2 Mar 2017 3 repositories listed
  (d) We present results for experiments on the most challenging datasets for human pose estimation and face alignment, reporting in many cases state-of-the-art performance.
• Optimal Classification Trees for Continuous Feature Data Using Dynamic Programming with Branch-and-Bound
  14 Jan 2025 2 repositories listed
  Computing an optimal classification tree that provably maximizes training performance within a given size limit, is NP-hard, and in practice, most state-of-the-art methods do not scale beyond computing optimal trees of…
• NAF-DPM: A Nonlinear Activation-Free Diffusion Probabilistic Model for Document Enhancement
  8 Apr 2024 2 repositories listed
  Real-world documents may suffer various forms of degradation, often resulting in lower accuracy in optical character recognition (OCR) systems.
• PB-LLM: Partially Binarized Large Language Models
  29 Sep 2023 2 repositories listed Syntology ran 5 of 11 samples · 6 unverified
  This paper explores network binarization, a radical form of quantization, compressing model weights to a single bit, specifically for Large Language Models (LLMs) compression.
• Binarized Spectral Compressive Imaging
  17 May 2023 2 repositories listed Syntology ran 13 of 32 samples · 19 unverified
  Finally, our BiSRNet is derived by using the proposed techniques to binarize the base model.
• Basic Binary Convolution Unit for Binarized Image Restoration Network
  2 Oct 2022 2 repositories listed
  In this study, we reconsider components in binary convolution, such as residual connection, BatchNorm, activation function, and structure, for IR tasks.
• A comprehensive review of Binary Neural Network
  11 Oct 2021 2 repositories listed Syntology ran 0 of 14 samples · 14 unverified · 14 pointer-only (licence)
  This article provides a complete overview of recent developments in BNN.
• SiMaN: Sign-to-Magnitude Network Binarization
  16 Feb 2021 2 repositories listed
  In this paper, we show that our weight binarization provides an analytical solution by encoding high-magnitude weights into +1s, and 0s otherwise.
• FracBNN: Accurate and FPGA-Efficient Binary Neural Networks with Fractional Activations
  22 Dec 2020 2 repositories listed
  We design an efficient FPGA-based accelerator for our novel BNN model that supports the fractional activations.
• Rotated Binary Neural Network
  28 Sep 2020 2 repositories listed
  In this paper, for the first time, we explore the influence of angular bias on the quantization error and then introduce a Rotated Binary Neural Network (RBNN), which considers the angle alignment between the…
• Binary Neural Networks: A Survey
  31 Mar 2020 2 repositories listed
  The binary neural network, largely saving the storage and computation, serves as a promising technique for deploying deep models on resource-limited devices.
• BiDet: An Efficient Binarized Object Detector
  9 Mar 2020 2 repositories listed
  Conventional network binarization methods directly quantize the weights and activations in one-stage or two-stage detectors with constrained representational capacity, so that the information redundancy in the networks…
• Neural Network Compression Framework for fast model inference
  20 Feb 2020 2 repositories listed Syntology ran 0 of 2 samples · 2 unverified
  In this work we present a new framework for neural networks compression with fine-tuning, which we called Neural Network Compression Framework (NNCF).
• LUTNet: Learning FPGA Configurations for Highly Efficient Neural Network Inference
  24 Oct 2019 2 repositories listed Syntology ran 1 of 3 samples · 2 unverified
  Research has shown that deep neural networks contain significant redundancy, and thus that high classification accuracy can be achieved even when weights and activations are quantized down to binary values.
• Forward and Backward Information Retention for Accurate Binary Neural Networks
  24 Sep 2019 2 repositories listed
  Our empirical study indicates that the quantization brings information loss in both forward and backward propagation, which is the bottleneck of training accurate binary neural networks.
• Classification is a Strong Baseline for Deep Metric Learning
  30 Nov 2018 2 repositories listed Syntology ran 0 of 5 samples · 5 unverified
  Deep metric learning aims to learn a function mapping image pixels to embedding feature vectors that model the similarity between images.
• A selectional auto-encoder approach for document image binarization
  30 Jun 2017 2 repositories listed
  Binarization plays a key role in the automatic information retrieval from document images.
• HashNet: Deep Learning to Hash by Continuation
  2 Feb 2017 2 repositories listed Syntology ran 2 of 16 samples · 14 unverified
  Learning to hash has been widely applied to approximate nearest neighbor search for large-scale multimedia retrieval, due to its computation efficiency and retrieval quality.
• A Sample Efficient Conditional Independence Test in the Presence of Discretization
  10 Jun 2025 1 repository listed
  Motivated by this, this paper introduces a sample-efficient CI test that does not rely on the binarization process.
• RoBiS: Robust Binary Segmentation for High-Resolution Industrial Images
  27 May 2025 1 repository listed
  Robust unsupervised anomaly detection (AD) in real-world scenarios is an important task.

Syntology lines on 12 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.