GitHub

SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference

In vision-language models (VLMs), visual tokens usually consume a significant amount of computational overhead, despite their sparser information density compared to text tokens. To address this, ...
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.
Visual Studio Magazine

Uno Platform Helps Ship First Stable SkiaSharp 4.0 Release for 2D .NET Graphics

SkiaSharp 4.148.0 marks the first stable release in the SkiaSharp v4 line. The project is now co-maintained by Microsoft's .NET team and Uno Platform, reflecting a broader open-source collaboration.
IEEE

Diffusion Model-Based Visual Compensation Guidance and Visual Difference Analysis for No-Reference Image Quality Assessment

Abstract: Existing free-energy guided No-Reference Image Quality Assessment (NR-IQA) methods continue to face challenges in effectively restoring complexly distorted images. The features guiding the ...
IEEE

MtvTrack: Robust Visual Tracking via Modeling Time-Variant State of the Target

Abstract: Current single-object tracking algorithms depend on the information supplied by the template to identify and locate the object within the search area. However, environmental complexities and ...
GitHub

LocalMamba: Visual State Space Model with Windowed Selective Scan

Recent advancements in state space models, notably Mamba, have demonstrated significant progress in modeling long sequences for tasks like language understanding. Yet, their application in vision ...