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YangBai1109
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Updated Jun 16, 2022
ICCV2021 (Oral) - Exploring Cross-Image Pixel Contrast for Semantic Segmentation
Semi Supervised Learning for Medical Image Segmentation, a collection of literature reviews and code implementations.
Computer vision algorithms for segmenting 3D biomedical images.
Dual-Teacher++: Exploiting Intra-domain and Inter-domain Knowledge with Reliable Transfer for Cardiac Segmentation
Boundary-Detection-via-Convolution-Deconvolution-Neural-Network
Code for paper in CVPR2019, 'Attentive Feedback Network for Boundary-aware Salient Object Detection'
See More, Know More: Unsupervised Video Object Segmentation with Co-Attention Siamese Networks (CVPR19)
A collection of loss functions for medical image segmentation
Pytorch implementation of convolutional neural network visualization techniques
Context Encoding for Semantic Segmentation MegaDepth: Learning Single-View Depth Prediction from Internet Photos LiteFlowNet: A Lightweight Convolutional Neural Network for Optical Flow Estimation …
collect some questions in AI interview, include mathematics, computer algorithm, dl or ml model and so on
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
Code of my MOOC Course <Play with Machine Learning Algorithms>. Updated contents and practices are also included. 我在慕课网上的课程《Python3 入门机器学习》示例代码。课程的更多更新内容及辅助练习也将逐步添加进这个代码仓。
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
A high performance impermentation of Unsupervised Image Segmentation by Backpropagation - Asako Kanezaki
PyTorch implementation of Temporal Ensembling for Semi-Supervised Learning
"What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?", NIPS 2017 (unofficial code).
Several SSL methods (Pi model, Mean Teacher) are implemented in pytorch
Semi-supervised Segmentation of Tumors from Breast Ultrasound Images with Attentional Generative Adversarial Network
