lixin2002cn

lixin2002cn's Stars

• Jiaxin-Ye/DepMamba

  Official PyTorch code for training and inference pipeline for DepMamba: Progressive Fusion Mamba for Multimodal Depression Detection

  Language:Python224

• TouchYourYearn/MACF_implement

  An implement for paper Mamba-Assisted Modality Subspace Complementary Feature Fusion for Multimodal Sentiment Analysis

  2

• hustcselwb/coupled-mamba

  Neurips 2024

  181

• MathAI-LAB/PTMDA

  This is the pytorch demo code for Multi-Source Unsupervised Domain Adaptation via Pseudo Target Domain, (PTMDA) (IEEE Transactions on Image Processing, 2022).

  Language:Python9

• Kedreamix/Pytorch-Image-Classification

  用于pytorch的图像分类，包含多种模型方法，比如AlexNet，VGG，GoogleNet，ResNet，DenseNet等等，包含可完整运行的代码。除此之外，也有colab的在线运行代码，可以直接在colab在线运行查看结果。也可以迁移到自己的数据集进行迁移学习。

  Language:Jupyter Notebook21024

• oolown/MDA-GM

  the code of Unsupervised Multi-source Domain Adaptation with Graph Convolution Network and Multi-alignment in Mixed Latent Space

  Language:Python51

• yatengLG/Retinanet-Pytorch

  Retinanet目标检测算法(简单,明了,易用,全中文注释,单机多卡训练,视频检测)(based on pytorch,Simple, Clear, Mutil GPU)

  Language:Python26997

• kuangliu/pytorch-retinanet

  RetinaNet in PyTorch

  Language:Python997249

• datawhalechina/desktop-pet

  基于文心一言和树莓派Pico的最简易桌面宠物

  Language:Python4412

• like413/MACN

  [TGRS 2023] Mixing Self-Attention and Convolution Network: A Unified Framework for Multisource Remote Sensing Data Classification.

  Language:Python91

• hanzhaoml/MDAN

  Demo code for the MDAN paper.

  Language:Python11819

• VIROBO-15/Transformer-in-Remote-Sensing

  MDPI Journal: Remote Sensing Track 2023

  29929

• ya0-sun/PostEQ-SARopt-BuildingDamage

  The 1st VHR SAR-Optical benckmark dataset for detecting earthquake damaged buildings.

  Language:Python181

• ShivamP1993/FusAtNet-Dual-Attention-based-SpectroSpatial-Multimodal-Fusion-Network-for-Hyperspectral-and-LiDAR-

  The repository contains relevant dataset and keras code for the paper, "FusAtNet: Dual Attention based SpectroSpatial Multimodal Fusion Network for Hyperspectral and LiDAR Classification"

  Language:Python428

• sithu31296/sota-backbones

  A collection of SOTA Image Classification Models in PyTorch

  Language:Python14531

• satellite-image-deep-learning/datasets

  Datasets for deep learning with satellite & aerial imagery

  70980

• AnkurDeria/HSI-Traditional-to-Deep-Models

  Pytorch and Keras Implementations of Hyperspectral Image Classification -- Traditional to Deep Models: A Survey for Future Prospects.

  Language:Jupyter Notebook15936

• Candy-CY/Hyperspectral-Image-Classification-Models

  收录及复现的高光谱遥感图像分类模型

  Language:Python65384

• zhouweilian1904/Mamba-in-Mamba

  Language:Python402

• changgyhub/leetcode_101

  LeetCode 101：力扣刷题指南

  8.7k1.2k

• alexhe101/Pan-Mamba

  Pan-Mamba: Effective Pan-Sharpening with State Space Model

  Language:Python887

• DCASE2024-Task7-Sound-Scene-Synthesis/AudioLDM-training-finetuning

  AudioLDM training, finetuning, evaluation and inference.

  Language:Python135

• facebookresearch/detectron2

  Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

  Language:Python30.8k7.5k

• spytensor/prepare_detection_dataset

  convert dataset to coco/voc format

  Language:Python1.1k357

• Captain1986/CaptainBlackboard

  船长关于机器学习、计算机视觉和工程技术的总结和分享

  Language:C++1.2k198

• qinnzou/DeepCrack

  DeepCrack: Learning Hierarchical Convolutional Features for Crack Detection

  Language:Python25760

• Charmve/Surface-Defect-Detection

  📈 目前最大的工业缺陷检测数据库及论文集 Constantly summarizing open source dataset and critical papers in the field of surface defect research which are of great importance.

  Language:Python3.2k535

• lvxiaoming2019/GC10-DET-Metallic-Surface-Defect-Datasets

  This is the GC10-DET datasets of the upcoming paper " Deep Metallic Surface Defect Detection: the New Benchmark and Detection Network" The images of 10 common Metallic Surface defects were collected, and their pixel level ground-truth were labeled.

  605

• arthurflor23/surface-crack-detection

  Deep Learning Model for Crack Detection and Segmentation

  Language:Python14261

• megvii-research/mdistiller

  The official implementation of [CVPR2022] Decoupled Knowledge Distillation https://arxiv.org/abs/2203.08679 and [ICCV2023] DOT: A Distillation-Oriented Trainer https://openaccess.thecvf.com/content/ICCV2023/papers/Zhao_DOT_A_Distillation-Oriented_Trainer_ICCV_2023_paper.pdf

  Language:Python812124