seexiaogao

seexiaogao's Stars

• microsoft/Swin-Transformer

  This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

  Language:Python14k1273142.1k

• state-spaces/mamba

  Mamba SSM architecture

  Language:Python13.4k985531.1k

• microsoft/Cream

  This is a collection of our NAS and Vision Transformer work.

  Language:Python1.7k34166230

• THU-MIG/RepViT

  RepViT: Revisiting Mobile CNN From ViT Perspective [CVPR 2024] and RepViT-SAM: Towards Real-Time Segmenting Anything

  Language:Jupyter Notebook814107562

• bowang-lab/U-Mamba

  U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation

  Language:Python699116366

• LiheYoung/UniMatch

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

  Language:Python478311860

• YaoleiQi/DSCNet

  Pytorch Implement of Dynamic Snake Convolution (ICCV2023)

  Language:Python43265437

• lxtGH/SFSegNets

  [ECCV-2020-oral]-Semantic Flow for Fast and Accurate Scene Parsing

  Language:Python37578143

• pppLang/SKNet

  try to implement the CVPR 2019 paper "Selective Kernel Networks" by PyTorch

  Language:Python37042264

• murufeng/EPSANet

  Language:Python28752047

• cecret3350/DEA-Net

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

  Language:Python23632711

• mlpc-ucsd/CoaT

  (ICCV 2021 Oral) CoaT: Co-Scale Conv-Attentional Image Transformers

  Language:Jupyter Notebook229111231

• YOLOonMe/EMA-attention-module

  Implementation Code for the ICCASSP 2023 paper " Efficient Multi-Scale Attention Module with Cross-Spatial Learning" and is available at: https://arxiv.org/abs/2305.13563v2

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• jamycheung/DELIVER

  Repository of DELIVER dataset and CMNeXt models (CVPR 2023)

  Language:Python1527258

• Chenglin-Yang/LVT

  Lite Vision Transformer (CVPR 2022)

  Language:Python1343612

• JIAOJIAYUASD/dilateformer

  Language:Python12911410

• AILab-CVC/GroupMixFormer

  GroupMixAttention and GroupMixFormer

  Language:Python1139412

• mkang315/BGF-YOLO

  [MICCAI'24] Official implementation of "BGF-YOLO: Enhanced YOLOv8 with Multiscale Attentional Feature Fusion for Brain Tumor Detection".

  Language:Python9011712

• CV-ZhangXin/LDConv

  Language:Python862183

• qhfan/CloFormer

  The official code of "Rethinking Local Perception in Lightweight Vision Transformer"

  Language:Python84437

• ggsDing/LANet

  Pytorch codes for 'LANet: Local Attention Embedding to Improve the Semantic Segmentation of Remote Sensing Images'

  Language:Python52246

• cv516Buaa/ST-DASegNet

  Language:Python251134

• multimediaFor/ConvNeXtFF

  Source code of the paper: Effective Image Tampering Localization with Multi-Scale ConvNeXt Feature Fusion, JVCIR 2024.

  Language:Python25140

• lyhnsn/GLOTS

  The codebase of "GLOTS: Rethinking Transformers for Semantic Segmentation of Remote Sensing Images"

  Language:Python15241

• itracasa/seg-eval

  SegEval is a Python library that provides tools for evaluating semantic segmentation models

  Language:Jupyter Notebook11211

• lih627/MLMSNet

  Lightweight Multi-Level Multi-Scale Feature Fusion Network for Semantic Segmentation

  Language:Python9212

• patricklee16/LMA-Swin

  Semantic segmentation of high-resolution remote sensing images

  Language:Python521

• DUT-IIAU-OIP-Lab/IEEE-TCYB-PANet

  The code for "PANet: Patch-Aware Network for Light Field Salient Object Detection"

  Language:Python310

• DrWuHonglin/CMLFormer

  The code of the CMLFormer: CNN and Multi-scale Local-context Transformer network for remote sensing images semantic segmentation

  Language:Python1220

• Mr-Wangfl/CTrans_Net

  remote sensing image semantic segmentation

  Language:Python121