Advancing transformer architecture in long-context large language models: A comprehensive survey
[HTML][HTML] ADNNet: Attention-based deep neural network for Air Quality Index prediction
Abstract The Air Quality Index (AQI) is a crucial indicator for assessing the degree of
atmospheric pollution. Accurately forecasting AQI is notably challenging due to the …
atmospheric pollution. Accurately forecasting AQI is notably challenging due to the …
Parameter-free similarity-aware attention module for medical image classification and segmentation
Automatic classification and segmentation of medical images play essential roles in
computer-aided diagnosis. Deep convolutional neural networks (DCNNs) have shown their …
computer-aided diagnosis. Deep convolutional neural networks (DCNNs) have shown their …
Cross-UNet: dual-branch infrared and visible image fusion framework based on cross-convolution and attention mechanism
X Wang, Z Hua, J Li - The Visual Computer, 2023 - Springer
Existing infrared and visible image fusion methods suffer from edge information loss, artifact
introduction, and image distortion. Therefore, a dual-branch network model based on the …
introduction, and image distortion. Therefore, a dual-branch network model based on the …
Hybrid Attention-Based Encoder–Decoder Fully Convolutional Network for PolSAR Image Classification
Recently, methods based on convolutional neural networks (CNNs) achieve superior
performance in polarimetric synthetic aperture radar (PolSAR) image classification …
performance in polarimetric synthetic aperture radar (PolSAR) image classification …
KTMN: Knowledge-driven Two-stage Modulation Network for visual question answering
J Shi, D Han, C Chen, X Shen - Multimedia Systems, 2024 - Springer
Existing visual question answering (VQA) methods introduce the Transformer as the
backbone architecture for intra-and inter-modal interactions, demonstrating its effectiveness …
backbone architecture for intra-and inter-modal interactions, demonstrating its effectiveness …
Performance Comparison of Object Detection Networks for Shrapnel Identification in Ultrasound Images
Ultrasound imaging is a critical tool for triaging and diagnosing subjects but only if images
can be properly interpreted. Unfortunately, in remote or military medicine situations, the …
can be properly interpreted. Unfortunately, in remote or military medicine situations, the …