Artificial intelligence related research, involving Machine learning, Deep learning and Computer vision
Keras-Brats-Improved-Unet3d. 3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation
91Pytorch-DeepLab-v3-plus. deeplab v3+: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
48Keras-Deeplab-v3-plus. deeplab v3+: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
16Pytorch-TuSample-DUC. Understanding Convolution for Semantic Segmentation, web: 1. https://zhuanlan.zhihu.com/p/26659914 2. https://blog.csdn.net/u011974639/article/details/79460893
16Keras-Unet. U-Net: Convolutional Networks for Biomedical Image Segmentation
10Keras-RCNN. Rich feature hierarchies for accurate object detection and semantic segmentation
9Tensorflow-Deeplab-v3. deeplab v3: Rethinking Atrous Convolution for Semantic Image Segmentation
6Keras-DropBlock. DropBlock:A regularization method for convolutional networks
5Tensorflow-PyramidBox. PyramidBox: A Context-assisted Single Shot Face Detector
2ANTs-1.9.x-Linux. Nipype-N4BiasFieldCorrection-Bin, The files has made in bin
2Caffe-CascadeCNN. Implementation based on the paper Li et al., “A Convolutional Neural Network Cascade for Face Detection, ” 2015 CVPR
2Keras-Faster-RCNN. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
2Tensorflow-Yolo-v1. You Only Look Once: Unified, Real-Time Object Detection
2C-Pydensecrf. Python wrapper to Philipp Krähenbühl's dense (fully connected) CRFs with gaussian edge potentials. 《Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs》
1Keras-Switchable-Normalization. Differentiable Learning-to-Normalize via Switchable Normalization
1Keras-Yolo-v3. YOLOv3: An Incremental Improvement
1Keras-Tensorflow-Deep-Learning. Detailed introduction to machine learning and deep learning
1Keras-Focal-Loss. Focal Loss for Dense Object Detection
1Cardiac-MRI-Segmentation. https://www.sohu.com/a/193020221_798050
1Tensorflow-MTCNN. Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
1Tensorflow-Gan-Mnist. Generative Adversarial Nets, web:https://blog.csdn.net/lxllzl/article/details/78494071 ,
1Keras-Contrib. Keras community contributions (eg:common normalization, crf ...... )
1Machine-Learning. Some simple machine learning algorithm
1Tensorflow-SSD. Annotation is added to the main code of SSD target detection algorithm
1