NXP's repositories

WIML

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

AdvSemiSeg

Adversarial Learning for Semi-supervised Semantic Segmentation, BMVC 2018

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CCT

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

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deeplearning_ai_books

deeplearning.ai(吴恩达老师的深度学习课程笔记及资源)

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EDAM

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

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GeodisTK

geodesic distance transform of 2d/3d images

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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...

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LIDC-IDRI-Preprocessing

This is the preprocessing step of the LIDC-IDRI dataset

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lidc_nodule_detection

lidc nodule detection with CNN and LSTM network

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LUNA16-Lung-Nodule-Analysis-2016-Challenge

LUNA16-Lung-Nodule-Analysis-2016-Challenge

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LungNoduleDetectionClassification

Automated Extraction and Classification of Pulmonary Lung Nodules from CT Scans

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neural-retargeting

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

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openpose

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

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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

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PyTorch_Tutorial

《Pytorch模型训练实用教程》中配套代码

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SEAM

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

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SemanticSegmentation_DL

Resources of semantic segmantation based on Deep Learning model

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SimpleCRF

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

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TorchSemiSeg

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

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U2PL

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

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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

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yumi-gym

gym env for collaborative robot yumi with pybullet

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