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awesome-model-quantization

A list of papers, docs, codes about model quantization. This repo is aimed to provide the info for model quantization research, we are continuously improving the project. Welcome to PR the works (papers, repositories) that are missed by the repo.

biasbasedattack

centeredwn

This project is the Torch implementation of our ICCV 2017 paper: Centered Weight Normalization in Accelerating Training of Deep Neural Networks

dsq

pytorch implementation of "Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks"

eir-mappo

fild

Fast and Incremental Loop closure Detection

ini-model-stealing-defense

The official PyTorch implementation of paper "Isolation and Induction: Training Robust Deep Neural Networks against Model Stealing Attacks" (ACM MM 2023)

ipn

ir-net

This project is the PyTorch implementation of our accepted CVPR 2020 paper : forward and backward information retention for accurate binary neural networks.

normprojection

This project is the Torch implementation of the paper: Projection Based Weight Normalization for Deep Neural Networks (arXiv:1710.02338)

opixray

othogonalwn

This project is the Torch implementation of our accepted AAAI 2018 paper : orthogonal weight normalization method for solving orthogonality constraints over Steifel manifold in deep neural networks (arXiv:1709.06079 )

pan

psn

implement of CVPR 2022 paper《Exploring Endogenous Shift for Cross-domain Detection: A Large-scale Benchmark and Perturbation Suppression Network》

region-wise-inpainting

Region-wise GAN, image inpainting

robustart

The first comprehensive Robustness investigation benchmark on large-scale dataset ImageNet regarding ARchitecture design and Training techniques towards diverse noises.

seemore

spatiotemporalattacks

trpn

x-adv

Official PyTorch implemetation of paper "X-Adv: Physical Adversarial Object Attacks against X-ray Prohibited Item Detection".

xraydetection