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advsemiseg

Adversarial Learning for Semi-supervised Semantic Segmentation, BMVC 2018

cct

:page_facing_up: Semi-Supervised Semantic Segmentation with Cross-Consistency Training (CVPR 2020).

deeplearning_ai_books

deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）

edam

The code and pretrain models of EDAM-WSSS(Embedded Discriminative Attention Mechanism for Weakly Supervised Semantic Segmentation)

geodistk

geodesic distance transform of 2d/3d images

grad-cam.pytorch

pytorch实现Grad-CAM和Grad-CAM++,可以可视化任意分类网络的Class Activation Map (CAM)图,包括自定义的网络;同时也实现了目标检测faster r-cnn和retinanet两个网络的CAM图;欢迎试用、关注并反馈问题...

jbhi

lidc-idri-preprocessing

This is the preprocessing step of the LIDC-IDRI dataset

lidc_nodule_detection

lidc nodule detection with CNN and LSTM network

luna16-lung-nodule-analysis-2016-challenge

LUNA16-Lung-Nodule-Analysis-2016-Challenge

lungnoduledetectionclassification

Automated Extraction and Classification of Pulmonary Lung Nodules from CT Scans

neural-retargeting

Code for the paper "Efficient Human-Robot Motion Retargeting via Neural Latent Optimization"

openpose

OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation

pytorch-grad-cam

Many Class Activation Map methods implemented in Pytorch for CNNs and Vision Transformers. Including Grad-CAM, Grad-CAM++, Score-CAM, Ablation-CAM and XGrad-CAM

pytorch_tutorial

《Pytorch模型训练实用教程》中配套代码

seam

Self-supervised Equivariant Attention Mechanism for Weakly Supervised Semantic Segmentation, CVPR 2020 (Oral)

semanticsegmentation_dl

Resources of semantic segmantation based on Deep Learning model

semiseg-contrastive

simplecrf

matlab and python wrap of crf and dense crf, both 2d and 3d are supported

torchsemiseg

[CVPR 2021] Semi-Supervised Semantic Segmentation with Cross Pseudo Supervision

u2pl

[CVPR 2022] Semi-Supervised Semantic Segmentation Using Unreliable Pseudo-Labels

vgg16

A PyTorch implementation of VGG16. This could be considered as a variant of the original VGG16 since BN layers are added after each conv. layer

wiml

Weakly-Interactive-Mixed Learning: Less Labeling Cost for Better Medical Image Segmentation

yumi-gym

gym env for collaborative robot yumi with pybullet