Reliable Source Approximation: Source-Free Domain Adaptation for Vestibular Schwannoma MRI Segmentation

Offical implementation of "SM3Det: A Unified Model for Multi-Modal Remote Sensing Object Detection"

[TMLR 2022] High-Modality Multimodal Transformer

Compound Fault Diagnosis Dataset of Rotating Machinery

[Survey] Next Token Prediction Towards Multimodal Intelligence: A Comprehensive Survey

Quantify uncertainty and sensitivities in your computer models with an industry-grade Monte Carlo library.

Make Acoustic and Visual Cues Matter: CH-SIMS v2.0 Dataset and AV-Mixup Consistent Module

[ICLR 2025 Oral] This is the official repo for the paper "LLM-SR" on Scientific Equation Discovery and Symbolic Regression with Large Language Models

[WSDM'2025] "DiffGraph: Heterogeneous Graph Diffusion Model"

A Task-guided, Implicitly-searched and Meta- initialized Deep Model for Image Fusion TPAMI 24

1 提出了一种新的相似度损失(SimL)，用于增大类间差异同时减小类内差异；2 SimL+CE优化CNN；3 基于电信号诊断轴承故障

[ECCV2024] The Official Implementation for ''AdaCLIP: Adapting CLIP with Hybrid Learnable Prompts for Zero-Shot Anomaly Detection''

[IJCAI 2020] Official implementation for "DIDFuse: Deep Image Decomposition for Infrared and Visible Image Fusion"

Implementation of Diffusion Convolutional Recurrent Neural Network in Tensorflow

Code for paper 'Peri-midFormer: Periodic Pyramid Transformer for Time Series Analysis (NeurIPS 2024 Spotlight)'

Awsome-Multi-modal-based PHM （基于多模态的故障诊断和预测）

DuAT: Dual-Aggregation Transformer Network for Medical Image Segmentation (PRCV)

AAAI 2025: BearLLM: A Prior Knowledge-Enhanced Bearing Health Management Framework with Unified Vibration Signal Representation

MSRS: Multi-Spectral Road Scenarios for Practical Infrared and Visible Image Fusion

Source codes for the paper "Domain generalization for rotating machinery fault diagnosis: A survey" published in Advanced Engineering Informatics journal

Anomaly detection using Federated Learning with FLEX.

A few shot learning repository for bearing fault diagnosis.

Code for [AAAI 2025] Gradient Alignment Improves Test-Time Adaptation for Medical Image Segmentation.

code for "IFCNN: A General Image Fusion Framework Based on Convolutional Neural Network"