Abstract: Semantic segmentation of remote sensing images is challenging due to complex scenes, substantial variations in object scales, and ambiguous boundaries. In this study, we propose a novel ...
M5Stack has just launched the "AI Pyramid Computer Box" AI mini PC powered by an Axera AX8850 octa-core Cortex-A55 SoC with a ...
Abstract: Automatic modulation classification (AMC) is one of the fundamental technologies in adaptive communication systems, supporting various tasks such as spectrum surveillance and cognitive radio ...
For the past few years, a single axiom has ruled the generative AI industry: if you want to build a state-of-the-art model, ...
Gray codes, also known as reflected binary codes, offer a clever way to minimize errors when digital signals transition between states. By ensuring that only one bit changes at a time, they simplify ...
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Transformer encoder architecture explained simply
We break down the Encoder architecture in Transformers, layer by layer! If you've ever wondered how models like BERT and GPT process text, this is your ultimate guide. We look at the entire design of ...
Background: Volumetric modulated arc therapy (VMAT) necessitates rigorous pre-treatment patient-specific quality assurance (PSQA) to ensure dosimetric accuracy, yet conventional manual verification ...
This repository explores finetuning DINOv3 (Siméoni et al., 2025) or DINOv2 (Oquab et al., 2024) encoder weights using Low-Rank Adaptation (Hu et al., 2021) (LoRA) and a simple 1x1 convolution decoder ...
1 School of Integrated Circuits, Guangdong University of Technology, Guangzhou, China 2 School of Computer Science, Xi'an University of Technology, Xi'an, China Introduction: The rapid advancement of ...
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