ROSENty's Stars
ocrmypdf/OCRmyPDF
OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched
irfanICMLL/structure_knowledge_distillation
The official code for the paper 'Structured Knowledge Distillation for Semantic Segmentation'. (CVPR 2019 ORAL) and extension to other tasks.
Omid-Nejati/MedViT
MedViT: A Robust Vision Transformer for Generalized Medical Image Classification (Computers in Biology and Medicine 2023)
Fafa-DL/Awesome-Backbones
Integrate deep learning models for image classification | Backbone learning/comparison/magic modification project
cvpr-org/author-kit
xychen2022/VersatileSegmentation
yhygao/universal-medical-image-segmentation
yanx27/Pointnet_Pointnet2_pytorch
PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
jchibane/if-net
Implicit Feature Network (IF-Net) - Codebase
maylis-j/SCONet
JustcallmeTuner/marginal-loss
code for marginal loss
MIRACLE-Center/Partially-supervised-multi-organ-segmentation
code for Marginal loss and exclusion loss for partially supervised multi-organ segmentation
lucidrains/segformer-pytorch
Implementation of Segformer, Attention + MLP neural network for segmentation, in Pytorch
murufeng/EPSANet
kenshohara/3D-ResNets-PyTorch
3D ResNets for Action Recognition (CVPR 2018)
bowang-lab/MedSAM
Segment Anything in Medical Images
4uiiurz1/pytorch-deform-conv-v2
PyTorch implementation of Deformable ConvNets v2 (Modulated Deformable Convolution)
kondratevakate/3d-deformable-convolutions
A repository with a basic layer of 3D deformable receptive field for 3D VoxCNN and 3D VoxResNet
PolarisShi/distillation
wolny/pytorch-3dunet
3D U-Net model for volumetric semantic segmentation written in pytorch
THU-luvision/OccuSeg
This is the official code repository for OccuSeg, a state-of-the-art method for accurate joint 3D semantic and instance segmentation.
facebookresearch/DeepSDF
Learning Continuous Signed Distance Functions for Shape Representation
autonomousvision/occupancy_networks
This repository contains the code for the paper "Occupancy Networks - Learning 3D Reconstruction in Function Space"
crazyleg/workshop-3d-neural
Workshop for datascience.ua on "3D meets neural networks"
charlesyou999648/MORSE
[MICCAI'23] Implicit Anatomical Rendering for Medical Image Segmentation with Stochastic Experts
liyun-lu/unet_and_vnet
You can see the explanation of these models on my blog. My blog link is:https://blog.csdn.net/qq_36484003/article/details/108874913
Leymore/ruozhiba
Zzaphkiel/Seraphine
英雄联盟战绩查询工具
Yang-007/CCQ
[AAAI2023] CCQ: Cross-class Query Network for Partially Labeled Organ Segmentation
hsiangyuzhao/PANet
Prior Attention Network for Multi-Lesion Segmentation in Medical Images