LindsayWang0412

LindsayWang0412's Stars

• ChrisAllenMing/LtC-MSDA

  Implementation of Learning to Combine: Knowledge Aggregation for Multi-Source Domain Adaptation (ECCV 2020).

  Language:Python6816

• sdhsk/Doamin-Adaptataion

  Main about M3SDA/CDAN/DANN

  Language:Python2

• tsxce/Moment-Matching-for-Multi-Source-Domain-Adaptation-M3SDA

  This code was finished before source code hasn't been released.

  Language:Python262

• thuml/TransNorm

  Code release for "Transferable Normalization: Towards Improving Transferability of Deep Neural Networks" (NeurIPS 2019)

  Language:Python7913

• VisionLearningGroup/DAL

  Domain agnostic learning with disentangled representations

  Language:Python14528

• KaiyangZhou/Dassl.pytorch

  A PyTorch toolbox for domain generalization, domain adaptation and semi-supervised learning.

  Language:Python1.2k171

• Zhongying-Deng/DAC-Net

  Pytorch implementation of DAC-Net ("Zhongying Deng, Kaiyang Zhou, Yongxin Yang, Tao Xiang. Domain Attention Consistency for Multi-Source Domain Adaptation. BMVC 2021")

  Language:Python201

• CtrlZ1/Domain-Adaptation-Algorithms

  Record my work in transfer learning during my postgraduate period.

  462

• kaix90/DCTNet

  Language:Python46399

• dyzy41/ChangeCLIP

  Language:Python741

• TL-UESTC/DAMP

  The Pytorch implementation of Domain-Agnostic Mutual Prompting for Unsupervised Domain Adaptation

  Language:Python22

• kf-liu/The-Art-of-Linear-Algebra-zh-CN

  Graphic notes on Gilbert Strang's "Linear Algebra for Everyone", 线性代数的艺术中文版, 欢迎PR.

  Language:PostScript4.5k453

• AmberHen/WHU-OPT-SAR-dataset

  Open source dataset; multimodal fusion；remote sensing；optical images; SAR images；deep learning

  1587

• XD-MG/DDHRNet

  Here is the research experience and code of the MG group

  Language:Python15

• satellite-image-deep-learning/datasets

  Datasets for deep learning with satellite & aerial imagery

  69480

• XavierJiezou/cloudseg

  Cloud Segmentation for Remote Sensing

  Language:Python1

• yisun98/SOLC

  Remote Sensing Sar-Optical Land-use Classfication Pytorch Pytorch高分辨率遥感语义分割/地物分割/地物分类

  Language:Python17925

• LiheYoung/UniMatch

  [CVPR 2023] Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation

  Language:Python47658

• boa2004plaust/ViMD

  Vision Mamba Distillation for Low-resolution Fine-grained Image Classification

  Language:Python3

• HyperSystemAndImageProc/S2CrossMamba

  S2CrossMamba: Spatial–Spectral Cross-Mamba for Multimodal Remote Sensing Image Classification

  Language:Python2

• danfenghong/SpectralMamba

  Yao, Jing, Danfeng Hong, Chenyu Li, and Jocelyn Chanussot. "SpectralMamba: Efficient Mamba for Hyperspectral Image Classification." arXiv preprint arXiv:2404.08489, 2024.

  58

• csguoh/MambaIR

  [ECCV2024] An official pytorch implement of the paper "MambaIR: A simple baseline for image restoration with state-space model".

  Language:Python47542

• NVlabs/MambaVision

  Official PyTorch Implementation of MambaVision: A Hybrid Mamba-Transformer Vision Backbone

  Language:Python83043

• satellite-image-deep-learning/techniques

  Techniques for deep learning with satellite & aerial imagery

  8.7k1.5k

• WangLibo1995/GeoSeg

  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 and UAV image segmentation.

  Language:Python741114

• milleniums/High-Resolution-Remote-Sensing-Semantic-Segmentation-PyTorch

  PyTorch实现高分遥感语义分割（地物分类）

  Language:Python44781

• lixinghua5540/STAR-NDSI-dataset

  STAR NDSI collection: A cloud-free MODIS NDSI dataset (2001–2020) for China, 2022

  2

• lixinghua5540/MTCDN

  Concatenated Deep-Learning Framework for Multitask Change Detection of Optical and SAR Images, 2024

  Language:Python13

• lixinghua5540/SEIFNet

  Spatiotemporal Enhancement and Interlevel Fusion Network for Remote Sensing Images Change Detection, 2024

  Language:Python25

• lixinghua5540/Wuhan-dataset

  A High-Resolution Dataset of Spatiotemporal Fusion for Remote Sensing Images, 2024

  9