Search Results for author: Enhua Wu

Found 14 papers, 9 papers with code

Bag of Tricks with Quantized Convolutional Neural Networks for image classification

no code implementations13 Mar 2023 Jie Hu, Mengze Zeng, Enhua Wu

To bridge this gap, we collect and improve existing quantization methods and propose a gold guideline for post-training quantization.

Image Classification Quantization

3D Human Pose Lifting with Grid Convolution

1 code implementation17 Feb 2023 Yangyuxuan Kang, Yuyang Liu, Anbang Yao, Shandong Wang, Enhua Wu

Existing lifting networks for regressing 3D human poses from 2D single-view poses are typically constructed with linear layers based on graph-structured representation learning.

Representation Learning

Redistribution of Weights and Activations for AdderNet Quantization

no code implementations20 Dec 2022 Ying Nie, Kai Han, Haikang Diao, Chuanjian Liu, Enhua Wu, Yunhe Wang

To this end, we first thoroughly analyze the difference on distributions of weights and activations in AdderNet and then propose a new quantization algorithm by redistributing the weights and the activations.


Rethinking skip connection model as a learnable Markov chain

1 code implementation30 Sep 2022 Dengsheng Chen, Jie Hu, Wenwen Qiang, Xiaoming Wei, Enhua Wu

In this work, we deep dive into the model's behaviors with skip connections which can be formulated as a learnable Markov chain.

Vision GNN: An Image is Worth Graph of Nodes

7 code implementations1 Jun 2022 Kai Han, Yunhe Wang, Jianyuan Guo, Yehui Tang, Enhua Wu

In this paper, we propose to represent the image as a graph structure and introduce a new Vision GNN (ViG) architecture to extract graph-level feature for visual tasks.

Image Classification Object Detection

GhostNets on Heterogeneous Devices via Cheap Operations

2 code implementations10 Jan 2022 Kai Han, Yunhe Wang, Chang Xu, Jianyuan Guo, Chunjing Xu, Enhua Wu, Qi Tian

The proposed C-Ghost module can be taken as a plug-and-play component to upgrade existing convolutional neural networks.

Elastic-Link for Binarized Neural Network

no code implementations19 Dec 2021 Jie Hu, Ziheng Wu, Vince Tan, Zhilin Lu, Mengze Zeng, Enhua Wu

For example, we raise the top-1 accuracy of binarized ResNet26 from 57. 9% to 64. 0%.


Learning Versatile Convolution Filters for Efficient Visual Recognition

no code implementations20 Sep 2021 Kai Han, Yunhe Wang, Chang Xu, Chunjing Xu, Enhua Wu, DaCheng Tao

A series of secondary filters can be derived from a primary filter with the help of binary masks.

Dynamic Resolution Network

3 code implementations NeurIPS 2021 Mingjian Zhu, Kai Han, Enhua Wu, Qiulin Zhang, Ying Nie, Zhenzhong Lan, Yunhe Wang

To this end, we propose a novel dynamic-resolution network (DRNet) in which the input resolution is determined dynamically based on each input sample.

Transformer in Transformer

10 code implementations NeurIPS 2021 Kai Han, An Xiao, Enhua Wu, Jianyuan Guo, Chunjing Xu, Yunhe Wang

In this paper, we point out that the attention inside these local patches are also essential for building visual transformers with high performance and we explore a new architecture, namely, Transformer iN Transformer (TNT).

Fine-Grained Image Classification

Squeeze-and-Excitation Networks

72 code implementations CVPR 2018 Jie Hu, Li Shen, Samuel Albanie, Gang Sun, Enhua Wu

Squeeze-and-Excitation Networks formed the foundation of our ILSVRC 2017 classification submission which won first place and reduced the top-5 error to 2. 251%, surpassing the winning entry of 2016 by a relative improvement of ~25%.

Image Classification

Cannot find the paper you are looking for? You can Submit a new open access paper.