Visual Studio Magazine

Support Vector Regression with SGD Training Using C#

Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.
GitHub

Driving with LLMs: Fusing Object-Level Vector Modality for Explainable Autonomous Driving

The LLM-Driver utilises object-level vector input from our driving simulator to predict explanable actions using pretrained Language Models, providing a robust and interpretable solution for ...
IEEE

Fine Object Change Detection Based on Vector Boundary and Deep Learning With High-Resolution Remote Sensing Images

Abstract: Remote sensing (RS) image change detection analyzes and determines the difference of surface states at different times. Polygons are common vector data to express the surface states in ...
IEEE

Sparse R-CNN: End-to-End Object Detection with Learnable Proposals

Abstract: We present Sparse R-CNN, a purely sparse method for object detection in images. Existing works on object detection heavily rely on dense object candidates, such as k anchor boxes pre-defined ...