73 papers with code • 1 benchmarks • 3 datasets

This task has no description! Would you like to contribute one?

Greatest papers with code

Real-time Scene Text Detection with Differentiable Binarization

PaddlePaddle/PaddleOCR 20 Nov 2019

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.

Binarization Scene Text +1

BinaryBERT: Pushing the Limit of BERT Quantization

huawei-noah/Pretrained-Language-Model 31 Dec 2020

In this paper, we propose BinaryBERT, which pushes BERT quantization to the limit by weight binarization.

Binarization Model Compression +1

Balanced Binary Neural Networks with Gated Residual

JDAI-CV/dabnn 26 Sep 2019

In this paper, we attempt to maintain the information propagated in the forward process and propose a Balanced Binary Neural Networks with Gated Residual (BBG for short).

Binarization General Classification +1

Forward and Backward Information Retention for Accurate Binary Neural Networks

JDAI-CV/dabnn CVPR 2020

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.

Binarization Neural Network Compression +1

Binary Neural Networks: A Survey

htqin/awesome-model-quantization 31 Mar 2020

The binary neural network, largely saving the storage and computation, serves as a promising technique for deploying deep models on resource-limited devices.

Binarization Image Classification +3

XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks

hpi-xnor/BMXNet 16 Mar 2016

We propose two efficient approximations to standard convolutional neural networks: Binary-Weight-Networks and XNOR-Networks.

Binarization Classification with Binary Neural Network +1

READ-BAD: A New Dataset and Evaluation Scheme for Baseline Detection in Archival Documents

dhlab-epfl/dhSegment 9 May 2017

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.

Binarization Keyword Spotting

Neural Network Compression Framework for fast model inference

openvinotoolkit/nncf 20 Feb 2020

In this work we present a new framework for neural networks compression with fine-tuning, which we called Neural Network Compression Framework (NNCF).

Binarization Neural Network Compression +1

Binarized Convolutional Landmark Localizers for Human Pose Estimation and Face Alignment with Limited Resources

1adrianb/binary-human-pose-estimation ICCV 2017

(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.

Binarization Face Alignment +1

HashNet: Deep Learning to Hash by Continuation

thuml/HashNet ICCV 2017

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.

Binarization Representation Learning