efficient-inference topic

List of papers related to neural network quantization in recent AI conferences and journals.

Zhen-Dong

Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.

huawei-noah

Code for paper " AdderNet: Do We Really Need Multiplications in Deep Learning?"

huawei-noah

[CVPR 2021] Exploring Sparsity in Image Super-Resolution for Efficient Inference

The-Learning-And-Vision-Atelier-LAVA

(CVPR 2021, Oral) Dynamic Slimmable Network

changlin31

Learning Efficient Convolutional Networks through Network Slimming, In ICCV 2017.

liuzhuang13

Deep Face Model Compression

liuziwei7

[ECCV 2022] Official implementation of the paper "DeciWatch: A Simple Baseline for 10x Efficient 2D and 3D Pose Estimation"

cure-lab

[ECCV2022] Efficient Long-Range Attention Network for Image Super-resolution

xindongzhang

Soft Threshold Weight Reparameterization for Learnable Sparsity

RAIVNLab