Stars
[CVPR 2023] Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation
We present a novel semi-supervised framework for crack segmentation (CCT-SimCrack) based on contrastive learning and cross pseudo supervision (CPS).
A summary of recent semi-supervised semantic segmentation methods
[EAAI '25] Advancing Automatic Photovoltaic Defect Detection using Semi-Supervised Semantic Segmentation of Electroluminescence Images
A must-read paper for speech separation based on neural networks
A game theoretic approach to explain the output of any machine learning model.
PINN program for computational mechanics
Awesome AI4PDE is a curated list of resources and literature focusing on the intersection of Artificial Intelligence and Partial Differential Equations (PDEs).
Effortless data labeling with AI support from Segment Anything and other awesome models.
SeismicNet: Physics-informed neural networks for seismic wave modeling in semi-infinite domain
This repository is the official implementation of the paper Convolutional Neural Operators for robust and accurate learning of PDEs
Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods
Collection of reproducible deep learning for compressive sensing