GuoQingqing's Stars
yizhezhang2000/SAMAug
YichiZhang98/SAM4MIS
SAM & SAM 2 for Medical Image Segmentation: Open-Source Project Summary
lofrienger/S2ME
S2ME: Spatial-Spectral Mutual Teaching and Ensemble Learning for Scribble-supervised Polyp Segmentation (MICCAI 2023)
KegangWangCCNU/PhysBench
Simple, fast, and fair evaluation of remote physiological sensing models
taozh2017/CFANet
zhoubolei/bolei_awesome_posters
CVPR and NeurIPS poster examples and templates. May we have in-person poster session soon!
dair-ai/ml-visuals
🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.
end-of-the-century/Cardiac
Qiming-Huang/ssformer
greenbellpepper/GreenPepper
C-GLGLGL/FDSemi
xiaojianzhong/awesome-weakly-supervised-semantic-segmentation
A comprehensive list of weakly supervised semantic segmentation (WSSS) works from 2014 to 2022.
y406539259/DeepGuidance
Deep Guidance Network for Biomedical Image Segmentation
GewelsJI/VPS
Official website for "Video Polyp Segmentation: A Deep Learning Perspective (MIR 2022)"
weijun-arc/BoxPolyp
REDSecond/AnhuiUniversityInOutSchoolApplication
通过selenium实现安徽大学出入校申请,方便走读使用
CityU-AIM-Group/JCAS
[MICCAI'22] Joint Class-Affinity Loss Correction for Robust Medical Image Segmentation with Noisy Labels
wutianyiRosun/Segmentation.X
Papers and Benchmarks about semantic segmentation, instance segmentation, panoptic segmentation and video segmentation
Monoceros393/AHUThesis
安徽大学硕士学位论文LaTeX模板
SteveTsui/DS-Net
frgfm/torch-cam
Class activation maps for your PyTorch models (CAM, Grad-CAM, Grad-CAM++, Smooth Grad-CAM++, Score-CAM, SS-CAM, IS-CAM, XGrad-CAM, Layer-CAM)
xmu-xiaoma666/FightingCV-Paper-Reading
⭐⭐⭐FightingCV Paper Reading, which helps you understand the most advanced research work in an easier way 🍀 🍀 🍀
xmu-xiaoma666/External-Attention-pytorch
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
cmhungsteve/Awesome-Transformer-Attention
An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites
fahadshamshad/awesome-transformers-in-medical-imaging
A collection of resources on applications of Transformers in Medical Imaging.
i2ii/i
jeonsworld/ViT-pytorch
Pytorch reimplementation of the Vision Transformer (An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale)
DeepTrial/AutoMetric
draw ROC,PR curve and calculate AUC MAP IoU for image semantic segmentation problem
Separius/awesome-fast-attention
list of efficient attention modules
oeway/pytorch-deform-conv
PyTorch implementation of Deformable Convolution