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The ninth NTIRE 2024 efficient super-resolution challenge report
This paper provides a comprehensive review of the NTIRE 2024 challenge focusing on
efficient single-image super-resolution (ESR) solutions and their outcomes. The task of this …
efficient single-image super-resolution (ESR) solutions and their outcomes. The task of this …
NTIRE 2024 challenge on low light image enhancement: Methods and results
This paper reviews the NTIRE 2024 low light image enhancement challenge highlighting the
proposed solutions and results. The aim of this challenge is to discover an effective network …
proposed solutions and results. The aim of this challenge is to discover an effective network …
Wsmsfnet: joint the whole supervision and multi-scale fusion network for remote sensing image change detection
B Wang, X Jiang, P Qin, J Zeng - IEEE Journal of Selected …, 2024 - ieeexplore.ieee.org
Remote sensing image change detection aims to extract high-level semantic feature to
identify the changed areas (CAs) between dual-temporal images (DTIs). However, the …
identify the changed areas (CAs) between dual-temporal images (DTIs). However, the …
A Novel YOLOv10-DECA Model for Real-Time Detection of Concrete Cracks.
C Zhang, N Peng, J Yan, L Wang… - Buildings (2075 …, 2024 - search.ebscohost.com
Abstract The You Only Look Once (YOLO) series algorithms have been widely adopted in
concrete crack detection, with attention mechanisms frequently being incorporated to …
concrete crack detection, with attention mechanisms frequently being incorporated to …
Multi-modal cross-domain self-supervised pre-training for fMRI and EEG fusion
Neuroimaging techniques including functional magnetic resonance imaging (fMRI) and
electroencephalogram (EEG) have shown promise in detecting functional abnormalities in …
electroencephalogram (EEG) have shown promise in detecting functional abnormalities in …
Gradient descent with generalized Newton's method
We propose the generalized Newton's method (GeN)---a Hessian-informed approach that
applies to any optimizer such as SGD and Adam, and covers the Newton-Raphson method …
applies to any optimizer such as SGD and Adam, and covers the Newton-Raphson method …