Search Results for author: Zhen Wei

Found 18 papers, 8 papers with code

High-resolution power equipment recognition based on improved self-attention

no code implementations6 Nov 2023 Siyi Zhang, Cheng Liu, Xiang Li, Xin Zhai, Zhen Wei, Sizhe Li, Xun Ma

The current trend of automating inspections at substations has sparked a surge in interest in the field of transformer image recognition.

Region Proposal

Image Recognition of Oil Leakage Area Based on Logical Semantic Discrimination

no code implementations3 Nov 2023 Weiying Lin, Che Liu, Xin Zhang, Zhen Wei, Sizhe Li, Xun Ma

The process begins with histogram equalization to enhance the original image, followed by the use of Mask RCNN to identify the preliminary positions and outlines of oil tanks, the ground, and areas of potential oil contamination.

Automatic Parameterization for Aerodynamic Shape Optimization via Deep Geometric Learning

1 code implementation3 May 2023 Zhen Wei, Pascal Fua, Michaël Bauerheim

The Latent Space Model (LSM) learns a low-dimensional latent representation of an object from a dataset of various geometries, while the Direct Mapping Model (DMM) builds parameterization on the fly using only one geometry of interest.

Robust Outlier Rejection for 3D Registration with Variational Bayes

1 code implementation CVPR 2023 Haobo Jiang, Zheng Dang, Zhen Wei, Jin Xie, Jian Yang, Mathieu Salzmann

Embedded with the inlier/outlier label, the posterior feature distribution is label-dependent and discriminative.

Bayesian Inference

IR2Net: Information Restriction and Information Recovery for Accurate Binary Neural Networks

1 code implementation6 Oct 2022 Ping Xue, Yang Lu, Jingfei Chang, Xing Wei, Zhen Wei

In contrast, considering the limited learning ability and information loss caused by the limited representational capability of BNNs, we propose IR$^2$Net to stimulate the potential of BNNs and improve the network accuracy by restricting the input information and recovering the feature information, including: 1) information restriction: for a BNN, by evaluating the learning ability on the input information, discarding some of the information it cannot focus on, and limiting the amount of input information to match its learning ability; 2) information recovery: due to the information loss in forward propagation, the output feature information of the network is not enough to support accurate classification.

Binarization Quantization

Self-Distribution Binary Neural Networks

1 code implementation3 Mar 2021 Ping Xue, Yang Lu, Jingfei Chang, Xing Wei, Zhen Wei

In this work, we study the binary neural networks (BNNs) of which both the weights and activations are binary (i. e., 1-bit representation).

Quantization

ACP: Automatic Channel Pruning via Clustering and Swarm Intelligence Optimization for CNN

1 code implementation16 Jan 2021 Jingfei Chang, Yang Lu, Ping Xue, Yiqun Xu, Zhen Wei

While the accuracy loss after pruning based on the structure sensitivity is relatively slight, the process is time-consuming and the algorithm complexity is notable.

Clustering

UCP: Uniform Channel Pruning for Deep Convolutional Neural Networks Compression and Acceleration

no code implementations3 Oct 2020 Jingfei Chang, Yang Lu, Ping Xue, Xing Wei, Zhen Wei

For ResNet with bottlenecks, we use the pruning method with traditional CNN to trim the 3x3 convolutional layer in the middle of the blocks.

Image Classification

Accurate facial image parsing at real-time speed

no code implementations IEEE Transactions on Image Processing 2019 Zhen Wei, Si Liu, Yao Sun, Hefei Ling

In this paper, we propose a design scheme for deep learning networks in the face parsing task with promising accuracy and real-time inference speed.

Face Parsing

Augmenting Crowd-Sourced 3D Reconstructions Using Semantic Detections

no code implementations CVPR 2018 True Price, Johannes L. Schönberger, Zhen Wei, Marc Pollefeys, Jan-Michael Frahm

Image-based 3D reconstruction for Internet photo collections has become a robust technology to produce impressive virtual representations of real-world scenes.

3D Reconstruction

Dropping Activation Outputs with Localized First-layer Deep Network for Enhancing User Privacy and Data Security

no code implementations20 Nov 2017 Hao Dong, Chao Wu, Zhen Wei, Yike Guo

However, current architecture of deep networks suffers the privacy issue that users need to give out their data to the model (typically hosted in a server or a cluster on Cloud) for training or prediction.

Anomaly Detection Decision Making +2

Learning Adaptive Receptive Fields for Deep Image Parsing Network

no code implementations CVPR 2017 Zhen Wei, Yao Sun, Jinqiao Wang, Hanjiang Lai, Si Liu

In this paper, we introduce a novel approach to regulate receptive field in deep image parsing network automatically.

Face Parsing

Deeply-Fused Nets

2 code implementations25 May 2016 Jingdong Wang, Zhen Wei, Ting Zhang, Wen-Jun Zeng

Second, in our suggested fused net formed by one deep and one shallow base networks, the flows of the information from the earlier intermediate layer of the deep base network to the output and from the input to the later intermediate layer of the deep base network are both improved.

DisturbLabel: Regularizing CNN on the Loss Layer

2 code implementations CVPR 2016 Lingxi Xie, Jingdong Wang, Zhen Wei, Meng Wang, Qi Tian

During a long period of time we are combating over-fitting in the CNN training process with model regularization, including weight decay, model averaging, data augmentation, etc.

Data Augmentation

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