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Search results for imagenet quantization

24 search results found

Neural Network Compression Framework for enhanced OpenVINO™ inference

Easyquant ⭐ 295

EasyQuant(EQ) is an efficient and simple post-training quantization method via effectively optimizing the scales of weights and activations.

[CVPR 2019, Oral] HAQ: Hardware-Aware Automated Quantization with Mixed Precision

Hadamard Matrix For Hashing ⭐ 197

CVPR2020: Central Similarity Quantization/Hashing for Efficient Image and Video Retrieval

Incremental Network Quantization ⭐ 183

Caffe Implementation for Incremental network quantization

[IJCAI 2022] FQ-ViT: Post-Training Quantization for Fully Quantized Vision Transformer

Ternarynet ⭐ 103

Implementation for Trained Ternary Network.

Official implementation of FQ-GAN

Frostnet ⭐ 86

FrostNet: Towards Quantization-Aware Network Architecture Search

Stochastic Quantization ⭐ 67

Training Low-bits DNNs with Stochastic Quantization

Sota Backbones ⭐ 64

A collection of SOTA Image Classification Models in PyTorch

Mobilenet_v1_stm32_cmsis_nn ⭐ 40

Mobilenet v1 trained on Imagenet for STM32 using extended CMSIS-NN with INT-Q quantization support

Pytorch_quantization ⭐ 38

A pytorch implementation of dorefa quantization

Lsquantization ⭐ 31

The PyTorch implementation of Learned Step size Quantization (LSQ) in ICLR2020 (unofficial)

Codes for AAAI2019 paper: Deep Neural Network Quantization via Layer-Wise Optimization using Limited Training Data

Static_bfp_cnn ⭐ 20

Static Block Floating Point Quantization for CNN

[ECCV 2020] Official repository of "Resolution Switchable Networks for Runtime Efficient Image Recognition" , in PyTorch and TensorFlow

official implementation of Generative Low-bitwidth Data Free Quantization(GDFQ)

Yolov3 Quantization Model V1.0 ⭐ 12

YOLOv3 quantization model v10, only for quantization off-line

Shuffledet ⭐ 11

this work is based on https://github.com/BichenWuUCB/squeezeDet, what different is that: - we changed squeezenet part in squeedet into shufflenetv2. - we build the classification task on ImageNet so you can pretrain the shufflenetv2 by yourself. - we do the quantization of weights and activitions and fusion the BN layer into convolution layer.

Bias Correction ⭐ 7

Bias-Correction

Ternarized_neural_network ⭐ 6

Optimizing Deep Convolutional Neural Network with Ternarized Weights and High Accuracy

Itq_pytorch ⭐ 5

Source code for paper "Iterative Quantization: A Procrustean Approach to Learning Binary Codes for Large-Scale Image Retrieval" on TPAMI-2013

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