Experiments on Flood Segmentation on Sentinel-1 SAR Imagery with Cyclical Pseudo Labeling and Noisy Student Training
APACHE-2.0 License
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across t...
Network-to-Network Translation with Conditional Invertible Neural Networks
CCNet: Criss-Cross Attention for Semantic Segmentation (TPAMI 2020 & ICCV 2019).
The easiest way to use deep metric learning in your application. Modular, flexible, and extensibl...
Techniques for deep learning with satellite & aerial imagery
[ICLR'23 Spotlight🔥] The first successful BERT/MAE-style pretraining on any convolutional network...
TernausNetV2: Fully Convolutional Network for Instance Segmentation
OpenSTL: A Comprehensive Benchmark of Spatio-Temporal Predictive Learning
Implementation of DeepMind's Deep Generative Model of Radar (DGMR) https://arxiv.org/abs/2104.00954
An extension of Open3D to address 3D Machine Learning tasks
Unsupervised Semantic Segmentation by Distilling Feature Correspondences
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
Semantic Segmentation Architectures Implemented in PyTorch
CSSegmentation: An Open Source Continual Semantic Segmentation Toolbox Based on PyTorch.