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 ...
Abstract: Deforestation remains a critical global environmental concern, requiring effective monitoring approaches. This letter presents a novel attention-powered encoder–decoder neural network ...
ABSTRACT: In this paper, a novel multilingual OCR (Optical Character Recognition) method for scanned papers is provided. Current open-source solutions, like Tesseract, offer extremely high accuracy ...
Microsoft’s Mu Brings Natural Language Chats to Windows 11’s Settings Menu Your email has been sent A screenshot of Mu performing real-time question answering. Image: Windows YouTube channel Microsoft ...
NANJING, China—Magewell will showcase the latest addition to its Pro Convert product line and introduce a new family of Pro Convert devices during InfoComm 2025, June 11-13, at the Orange County ...
Beyond tumor-shed markers: AI driven tumor-educated polymorphonuclear granulocytes monitoring for multi-cancer early detection. Clinical outcomes of a prospective multicenter study evaluating a ...
Introduction: In the past decade, artificial neural networks (ANNs) have revolutionized many AI-related fields, including Speech Enhancement (SE). However, achieving high performance with ANNs often ...
1 College of Information Engineering, Xinchuang Software Industry Base, Yancheng Teachers University, Yancheng, China. 2 Yancheng Agricultural College, Yancheng, China. Convolutional auto-encoders ...
Qualcomm and Nokia Bell Labs showed how multiple-vendor AI models can work together in an interoperable way in wireless networks. Carl Nuzman, Bell Labs Fellow at Nokia Bell Labs and Rachel Wang, ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results