ZfCai's Stars
yysdck/SFFNet
flyingdoog/PGExplainer
Parameterized Explainer for Graph Neural Network
hazdzz/STGCN
The PyTorch implementation of STGCN.
erinqhu/EEG-motor-imagery
ECE-GY 9123 Project: GCN-Explain-Net: An Explainable Graph Convolutional Neural Network (GCN) for EEG-based Motor Imagery Classification and Demystification
jindongwang/transferlearning
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
M-Nauta/ProtoTree
ProtoTrees: Neural Prototype Trees for Interpretable Fine-grained Image Recognition, published at CVPR2021
AvivSham/pFedHN
Official code implementation for "Personalized Federated Learning using Hypernetworks" [ICML 2021]
AshwinRJ/Federated-Learning-PyTorch
Implementation of Communication-Efficient Learning of Deep Networks from Decentralized Data
duanyh2001/MainCode_3DsEMGSOM
Hand Gesture Recognition with Switching State Based on Surface Electromyography through 3D Self-Organizing Mapping Network.
zylbuaa/ECL
[MICCAI 2023] ECL: Class-Enhancement Contrastive Learning for Long-tailed Skin Lesion Classification
yaopengUSTC/mbit-skin-cancer
This repository is the official PyTorch implementation of paper "Single Model Deep Learning on Imbalanced Small Datasets for Skin Lesion Classification" (https://arxiv.org/abs/2102.01284).
yiqings/HEGnnEnhanceCnn
Graph + Image Bimodal Deep Learning for Histology Image Classification
greeyun/DGGN
MIC-Laboratory/IEEE-NER-2023-RoHDE
[IEEE NER 2023] Toward Robust High-Density EMG Pattern Recognition using Generative Adversarial Network and Convolutional Neural Network Implementation
Fulin-Wei/UHD-sEMG-database
UHD is a surface electromyogram (sEMG) signals database, including original sEMG signals, the starting points and the termination points from 10 subjects. The sEMG signals of 13 gestures towards 3 positions were collected in 6 days, formed 2340 files. These 3 positions are vertical upward, horizontal and vertical, abbreviated as U, H, D, respectively.
DSIP-UPatras/sEMG-hilbert-curve
Accompaniment code for 'Hilbert sEMG data scanning for hand gesture recognition based on Deep Learning' published in NCAA.
MIC-Laboratory/CNN-HD-sEMG-Classifier
This is an implementation of gesture recognition using a light weight convolutional neural network (CNN) - MobilenetV2. The recognition is based on high-density surface electromyography (HD-sEMG) signals from two datasets: CSL HD-sEMG and ICE Lab HD-sEMG.
AirZWH/MSS-UNet
qichaoliu/CNN_Enhanced_GCN
Q. Liu, L. Xiao, J. Yang and Z. Wei, "CNN-Enhanced Graph Convolutional Network With Pixel- and Superpixel-Level Feature Fusion for Hyperspectral Image Classification," in IEEE Transactions on Geoscience and Remote Sensing, doi: 10.1109/TGRS.2020.3037361.
quanweiliu/WFCG
Weighted Feature Fusion of Convolutional Neural Network and Graph Attention Network for Hyperspectral Image Classification
hws320/FT-MDGCNet
Implementation of FT-MDGCNet: A Feature-Transformed Multi-Dimensional Graph Convolution Network for Skin Lesion Classification.
smallmax00/BI-GConv
BMVC 2021 Oral: code for BI-GCN: Boundary-Aware Input-Dependent Graph Convolution for Biomedical Image Segmentation
iMED-Lab/UG-GAT
HXY-99/brats
JCruan519/VM-UNet
(ARXIV24) This is the official code repository for "VM-UNet: Vision Mamba UNet for Medical Image Segmentation".
JHL-HUST/CircularKernel
Integrating Large Circular Kernels into CNNs through Neural Architecture Search
msracver/Deformable-ConvNets
Deformable Convolutional Networks
YaoleiQi/DSCNet
Pytorch Implement of Dynamic Snake Convolution (ICCV2023)
xavysp/DexiNed
DexiNed: Dense EXtreme Inception Network for Edge Detection
jannctu/FINED
Fast Inference Network for Edge Detection