GitHub

Advanced AI explainability for PyTorch

This is a package with state of the art methods for Explainable AI for computer vision. This can be used for diagnosing model predictions, either in production or while developing models. The aim is ...
GitHub

[NeurIPS 2025] Test-Time Adaptation of Vision-Language Models for Open-Vocabulary Semantic Segmentation

Abstract: Recently, test-time adaptation has attracted wide interest in the context of vision-language models for image classification. However, to the best of our knowledge, the problem is completely ...
IEEE

Gui-bin Bian

Root Mean Square Error,Convolutional Neural Network,Feature Maps,Robotic System,Image Segmentation,Segmentation Accuracy,Adaptive Control,Attention Mechanism,Global Features,Local Features,Long ...
IEEE

Yiqi Liu

Root Mean Square Error,Long Short-term Memory,Neural Network,Attention Mechanism,Model Predictive Control,Recurrent Neural Network,Control Input,Convolutional Neural Network,Deep Learning,Model ...
Dark Reading

Vulnerabilities & Threats

Explore the latest news and expert commentary on Vulnerabilities & Threats, brought to you by the editors of Dark Reading ...
Frontiers

DPCrossU-Net: a dual-branch parallel CNN–Transformer network for lung nodule segmentation

Accurate segmentation of lung nodules in CT images is essential for early lung cancer screening and computer-aided diagnosis, yet remains challenging due to small target size, complex boundaries, and ...