[CVPR 2025] DEIM: DETR with Improved Matching for Fast Convergence

一些关于目标检测的脚本的改进思路代码，详细请看readme.md

HiFT: Hierarchical Feature Transformer for Aerial Tracking (ICCV2021)

Feature distilling SiamFC for visual object tracking (a compressed SiamFC with an average performance loss of only 1% while achieving 42.6× parameters compression, 21.4× fewer float point computati…

[ECCV 2022] Joint Feature Learning and Relation Modeling for Tracking: A One-Stream Framework

PyTorch implementation of paper "ARTrack" and "ARTrackV2"

Open source software for autonomous drones.

xLSTM: Extended Long Short-Term Memory for Intelligent Fault Diagnosis of Rolling Bearings

[IEEE TIM] 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 Transac…

Using transformer to realize Bearing Fault Diagnosis

wdcnn轴承故障模型

Few-shot Transfer Learning for Intelligent Fault Diagnosis of Machine

Deep learning in PHM，Deep learning in fault diagnosis，Deep learning in remaining useful life prediction

Deep Residual Shrinkage Networks for Intelligent Fault Diagnosis（pytorch） 深度残差收缩网络应用于故障诊断

A transfer learning fault diagnosis repository covering popular algorithms