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MGA-Net: multiscale global feature aggregation network for arteriovenous classification
Subtle retinal vascular changes and abnormalities can serve as crucial biomarkers for numerous systemic diseases. The classification of retinal...
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Virtual reality exposure effect in acrophobia: psychological and physiological evidence from a single experimental session
In recent years, virtual reality (VR) has gained attention from researchers in diverse fields, particularly in therapy of phobias. Currently, virtual...
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UniTracker: transformer-based CrossUnihead for multi-object tracking
In recent years, tracking-by-detection (TBD) has emerged as the predominant approach for Multi-object Tracking (MOT). Most TBD algorithms typically...
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Hierarchical global and local transformer for pain estimation with facial expression videos
Automatic pain intensity estimation from facial expression analysis has important applications in medical and healthcare areas. Most of the existing...
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Aspect-based drug review classification through a hybrid model with ant colony optimization using deep learning
The task of aspect-level sentiment analysis is intricately designed to determine the sentiment polarity directed towards a specific target within a...
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A resource-efficient partial 3D convolution for gesture recognition
3DCNNs have shown impressive capabilities in extracting spatiotemporal features from videos. However, in practical applications, the numerous...
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3D-Scene-Former: 3D scene generation from a single RGB image using Transformers
3D scene generation requires complex hardware setups, such as multiple cameras and depth sensors. To address this challenge, there is a need for...
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Robust Image Restoration with an Adaptive Huber Function Based Fidelity
Numerous image restoration algorithms have been proposed in the last several decades. These algorithms usually optimize an objective function...
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Table image dewar** with key element segmentation
Image dewar** is usually an essential step of document digitization, while the inherent semi-structured and sparse nature of tables makes table...
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ASR-Fed: agnostic straggler-resilient semi-asynchronous federated learning technique for secured drone network
Federated Learning (FL) has emerged as a transformative artificial intelligence paradigm, facilitating knowledge sharing among distributed edge...
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Cognitive differences in product shape evaluation between real settings and virtual reality: case study of two-wheel electric vehicles
Product shape evaluation is an important part of new product development. In the shape design stage, design schemes are often presented through...
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Scene text recognition: an Indic perspective
Exploring Scene Text Recognition (STR) in Indian languages is an important research domain due to its wide applications. This paper proposes a...
