Scientific Research Publishing

Deep Reinforcement Learning for Phishing Detection with Transformer-Based Semantic Features ()

Phishing is a form of cybercrime in which people are deceived into exposing their personal information which can result in ...
LinkedIn

Power BI June 2026: The Update That Turns Your Semantic Model Into an API for Agents

June 2026 is the month two long-running threads finally tie together. The first is report code as a first-class, documented, AI-writable artifact — PBIR moving toward becoming the only report format, ...
IEEE

Edge-Guided and Multiscale Feature Optimization-Based Semantic Segmentation Network for Remote Sensing Images

Abstract: Accurate semantic segmentation of remote sensing imagery is fundamental to geospatial analysis, yet the task remains daunting due to intrinsic complexities such as blurred object boundaries, ...
IEEE

Soft-Guided Open-Vocabulary Semantic Segmentation of Remote Sensing Images

Abstract: Open-vocabulary remote sensing (RS) semantic segmentation strives to assign both seen and unseen class labels to individual pixels in RS images. Existing models follow the “fine-tune” ...
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 ...