UNet model with VGG11 encoder pre-trained on Kaggle Carvana dataset
MIT License
Wining solution and its improvement for MICCAI 2017 Robotic Instrument Segmentation Sub-Challenge
PyTorch extensions for fast R&D prototyping and Kaggle farming
[NeurIPS 2018] Visual Object Networks: Image Generation with Disentangled 3D Representation.
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
CCNet: Criss-Cross Attention for Semantic Segmentation (TPAMI 2020 & ICCV 2019).
Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.
Implementation of different kinds of Unet Models for Image Segmentation - Unet , RCNN-Unet, Atten...
Comparing FC VAE / FCN VAE / PCA / UMAP on MNIST / FMNIST
TernausNetV2: Fully Convolutional Network for Instance Segmentation
2D and 3D UNet implementation in PyTorch.
Network-to-Network Translation with Conditional Invertible Neural Networks
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
Semantic Segmentation Architectures Implemented in PyTorch
A PyTorch package for biomedical datasets processing, development and testing.
Pytorch Implementation of ENet: A Deep Neural Network Architecture for Real-Time Semantic Segment...