Weikan0425

Weikan0425's Stars

• Xinyu-Xiang/DIVFusion

  DIVFusion: Darkness-free infrared and visible image fusion

  Language:Python919

• cecret3350/DEA-Net

  [IEEE TIP 2024] DEA-Net: Single image dehazing based on detail-enhanced convolution and content-guided attention

  Language:Python1909

• cmsflash/efficient-attention

  An implementation of the efficient attention module.

  Language:Python27226

• fjwillemsen/NativeOverleaf

  Next-level academia! Repository for the Native Overleaf project, attempting to integrate Overleaf with native OS features for macOS, Linux and Windows.

  Language:JavaScript37318

• danfenghong/RSE_Cross-city

  Danfeng Hong, Bing Zhang, Hao Li, Yuxuan Li, Jing Yao, Chenyu Li, Martin Werner, Jocelyn Chanussot, Alexander Zipf, Xiao Xiang Zhu. Cross-City Matters: A Multimodal Remote Sensing Benchmark Dataset for Cross-City Semantic Segmentation using High-Resolution Domain Adapation Networks, Remote Sensing of Enviroment, 2023.

  Language:Python483

• lhoyer/DAFormer

  [CVPR22] Official Implementation of DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation

  Language:Python45691

• Junjue-Wang/LoveDA

  [NeurIPS 2021] LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation

  Language:Python34247

• AILab-CVC/UniRepLKNet

  [CVPR'24] UniRepLKNet: A Universal Perception Large-Kernel ConvNet for Audio, Video, Point Cloud, Time-Series and Image Recognition

  Language:Python88953

• yuweihao/MambaOut

  MambaOut: Do We Really Need Mamba for Vision?

  Language:Python1.9k31

• zifuwan/Sigma

  Python implementation of Sigma: Siamese Mamba Network for Multi-Modal Semantic Segmentation

  Language:Python14914

• yyyujintang/Awesome-Mamba-Papers

  Awesome Papers related to Mamba.

  1.1k61

• Yangzhangcst/RGBD-semantic-segmentation

  A paper list of RGBD semantic segmentation (processing)

  36433

• Seyed-Ali-Ahmadi/Awesome_Satellite_Benchmark_Datasets

  Supplementary material for our paper "THERE IS NO DATA LIKE MORE DATA" is provided.

  Language:Jupyter Notebook30727

• MzeroMiko/VMamba

  VMamba: Visual State Space Models，code is based on mamba

  Language:Python2k114

• CUG-BEODL/TSSCD

  Temporal semantic segmentation change detection

  Language:Python276

• EarthNets/Dataset4EO

  Officail Repo for the EarthNets Platform. https://arxiv.org/pdf/2210.04936.pdf

  Language:Python675

• charlesCXK/RGBD_Semantic_Segmentation_PyTorch

  [ECCV 2020] PyTorch Implementation of some RGBD Semantic Segmentation models.

  Language:Python29142

• adugnag/gee_s1_ard

  Creates an analysis ready sentinel-1 SAR image collection in Google Earth Engine by applying additional border noise correction, speckle filtering and radiometric terrain normalization.

  Language:Python22880

• sadassimov/geospatial-study

  geospatial-study

  Language:Jupyter Notebook257

• miracleyoo/pytorch-lightning-template

  An easy/swift-to-adapt PyTorch-Lighting template. 套壳模板，简单易用，稍改原来Pytorch代码，即可适配Lightning。You can translate your previous Pytorch code much easier using this template, and keep your freedom to edit all the functions as well. Big-project-friendly as well. No need to rewrite your config in hydra.

  Language:Jupyter Notebook1.3k185

• open-mmlab/mmdetection

  OpenMMLab Detection Toolbox and Benchmark

  Language:Python29k9.4k

• ultralytics/ultralytics

  NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite

  Language:Python28.1k5.6k

• rafiibnsultan/GeoSAM

  Fine-tuning SAM with Multi-Modal Prompts for Mobility Infrastructure Segmentation

  Language:Jupyter Notebook482

• cliffbb/OEM-Fewshot-Challenge

  Language:Python225

• KyanChen/RSPrompter

  This is the pytorch implement of our paper "RSPrompter: Learning to Prompt for Remote Sensing Instance Segmentation based on Visual Foundation Model"

  Language:Python50235

• MarcCoru/marinedebrisdetector

  Language:Jupyter Notebook216

• ESA-PhiLab/floatingobjects

  Language:Python2812

• marine-debris/marine-debris.github.io

  Quick Start Guide for MARIDA (Marine Debris Archive)

  Language:Python4110

• satellite-image-deep-learning/techniques

  Techniques for deep learning with satellite & aerial imagery

  8.4k1.4k

• shengyp/doing_the_PhD

  1.9k257