Chenxu Peng's repositories
Pytorch-Swin-Unet-V2
Swin Unet V2 is a modified version of Swin Unet based on Swin Transfomer V2.
CCFBDCI-2021-Ultrasonic-Tumor-Segmentation-Rank1st
This is the source code of the 1st place solution for segmentation task (with Dice 90.32%) in 2021 CCF BDCI challenge.
MMNet-for-Alzheimer-Classification-using-sMRI
5th Place Solution to HUAWEI PRCV Challenge 2021 Alzheimer's Disease Classification Task
Baidu2022-Paddle-Temporal-Action-Proposal-Rank1st
2022百度时序提名动作定位大赛冠军方案
CVPR-NTIRE2022-Parallel-Interactive-Transformer
This is the source code of the 7th place solution for stereo image super resolution task in 2022 CVPR NTIRE challenge.
Deep-Block-Zoo
Some plug-and-play network modules
Paddle-Skeleton-Based-Action-Recognition
2021百度基于飞桨实现花样滑冰选手骨骼点动作识别TOP1%
Kaggle-2022-HubMAP-Competition-Gold-Medal
This is the source code of the 6th place solution for Hubmap segmentation in 2022 Kaggle challenge.
open_model_zoo
Pre-trained Deep Learning models and demos (high quality and extremely fast)
realtime-semantic-segmentation-pytorch
PyTorch implementation of over 30 realtime semantic segmentations models, e.g. BiSeNetv1, BiSeNetv2, CGNet, ContextNet, DABNet, DDRNet, EDANet, ENet, ERFNet, ESPNet, ESPNetv2, FastSCNN, ICNet, LEDNet, LinkNet, PP-LiteSeg, SegNet, ShelfNet, STDC, SwiftNet, and support knowledge distillation, distributed training etc.
CSWin-Transformer
CSWin Transformer: A General Vision Transformer Backbone with Cross-Shaped, CVPR 2022
iPASSR
[CVPRW 2021] Symmetric Parallax Attention for Stereo Image Super-Resolution
mcc1095319343
My github homepage
Medical-Transformer
Official Pytorch Code for "Medical Transformer: Gated Axial-Attention for Medical Image Segmentation" - MICCAI 2021
NAFNet
The state-of-the-art image restoration model without nonlinear activation functions.
PaddleVideo
基于模块化的设计，提供丰富的视频算法实现、产业级的视频算法优化与应用，包括安防、体育、互联网、媒体等行业的动作定位与识别、行为分析、智能封面、视频标注、视频打标签等，涵盖动作识别与视频分类、动作定位、动作检测、多模态文本视频检索等技术。
PINTO_model_zoo
A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8), EdgeTPU, CoreML.
Qspace_Deep_Learning
Implementation codes for "Jointly estimating parametric maps of multiple diffusion models"
SegFormer
Official PyTorch implementation of SegFormer
segmentation_models.pytorch
Segmentation models with pretrained backbones. PyTorch.
SOTA-MedSeg
SOTA medical image segmentation methods based on various challenges
TRABIT_BraTS2021
Our deep learning training pipeline for the BraTS 2021 challenge and the FeTA 2021 challenge