Python code for TCTL method

A Semi-supervised Gaussian Mixture Variational Autoencoder method for few-shot fine-grained fault diagnosis

Physical-knowledge-Guided and Explainable CNNs for Gear Fault Severity Level Diagnosis

A comprehensive gear eccentricity dataset with multiple fault severity levels: Description, characteristics analysis, and fault diagnosis applications

Implemented simDR on mmpose

The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"

OpenMMLab Pose Estimation Toolbox and Benchmark.

TrackGait is a sub project of OpenGait. Implemented a gait recognition system.

A flexible, effective and fast cross-view gait recognition network

Temporal part-based model for gait recognition.

Official code for "Towards a Deeper Understanding of Skeleton-based Gait Recognition" (CVPRW'22)

Official repository for "GaitGraph: Graph Convolutional Network for Skeleton-Based Gait Recognition" (ICIP'21)

Hackable and optimized Transformers building blocks, supporting a composable construction.

The repository for a coming gait recognition work.

(MSAFF) A Multi-Stage Adaptive Feature Fusion Neural Network for Multimodal Gait Recognition

Max Mahalanobis Training (ICML 2018 + ICLR 2020)

Implementation of the model-agnostic meta-learning framework on CWRU bearing fault dataset to address cross-domain few-shot fault diagnosis problem.

FastPoseGait is a user-friendly and flexible repository that aims to help researchers get started on pose-based gait recognition quickly.

Official repository of the xLSTM.

This is official code for paper "Few-Shot Bearing Fault Diagnosis via Ensembling Transformer-based Model with Mahalanobis Distance Metric Learning from Multiscale Features". IEEE Transactions on In…

Variance discrepancy representation

Code for paper: SFCE: mining distinguishing correlation features for mechanical fault diagnosis towards time-varying conditions

A physics-informed neural network for battery SOH estimation

FDS-MOMEDA: Optimization-Blind Deconvolution in Finite High-Dimensional Spaces for Extracting Pulse Signal in Rolling Bearing Fault Diagnosis

FaultFormer

UNetFormer: A UNet-like transformer for efficient semantic segmentation of remote sensing urban scene imagery, ISPRS. Also, including other vision transformers and CNNs for satellite, aerial image …