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Multi-source-free Domain Adaptive Object Detection
To enhance the transferability of object detection models in real-world scenarios where data is sampled from disparate distributions, considerable...
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De-confounding representation learning for counterfactual inference on continuous treatment via generative adversarial network
Counterfactual inference for continuous rather than binary treatment variables is more common in real-world causal inference tasks. While there are...
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Exploiting Diffusion Prior for Real-World Image Super-Resolution
We present a novel approach to leverage prior knowledge encapsulated in pre-trained text-to-image diffusion models for blind super-resolution....
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A full-detection association tracker with confidence optimization for real-time multi-object tracking
Multi-object tracking (MOT) aims to obtain trajectories with unique identifiers for multiple objects in a video stream. In current approaches,...
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Virtual home staging and relighting from a single panorama under natural illumination
Virtual staging technique can digitally showcase a variety of real-world scenes. However, relighting indoor scenes from a single image is challenging...
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Analysis of recent techniques in marine object detection: a review
Marine Object Detection, leveraging computer vision, plays a vital role in detecting objects in marine environments ranging from marine organisms to...
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C-Hybrid-NET: A self-attention-based COVID-19 screening model based on concatenated hybrid 2D-3D CNN features from chest X-ray images
The outbreak of novel coronavirus (2019-nCOV, commonly known as COVID-19) was declared a global pandemic by the World Health Organization (WHO) in...
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Chasing Pelican based Deep Learning for Multiple Object Detection from Single Input Trash Image
Waste management is essential for develo** a smart city to enhance the population's living standards. Harmonious and healthy living environments...
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Industrial product surface defect detection via the fast denoising diffusion implicit model
In the age of intelligent manufacturing, surface defect detection plays a pivotal role in the automated quality control of industrial products,...
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Transcriptome- and DNA methylation-based cell-type deconvolutions produce similar estimates of differential gene expression and differential methylation
BackgroundChanging cell-type proportions can confound studies of differential gene expression or DNA methylation (DNAm) from peripheral blood...
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Aggregated Relative Similarity (ARS): a novel similarity measure for improved personalised learning recommendation using hybrid filtering approach
To improve the effectiveness of online learning, the learning materials recommendation is required to be personalised to the learner material...
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Disaster assessment from social media using multimodal deep learning
Real-time global event detection particularly catastrophic events has benefited significantly due to the ubiquitous adoption of social media...
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Gradient-based explanation for non-linear non-parametric dimensionality reduction
Dimensionality reduction (DR) is a popular technique that shows great results to analyze high-dimensional data. Generally, DR is used to produce...
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SkelVIT: consensus of vision transformers for a lightweight skeleton-based action recognition system
Skeleton-based action recognition systems receive the attention of many researchers due to their robustness to viewpoint and illumination changes,...
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Enhancing racism classification: an automatic multilingual data annotation system using self-training and CNN
Accurate racism classification is crucial on social media, where racist and discriminatory content can harm individuals and society. Automated racism...
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Evaluation of data augmentation techniques on subjective tasks
Data augmentation is widely applied in various computer vision problems for artificially increasing the size of a dataset by transforming the...
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Global adaptive histogram feature network for automatic segmentation of infection regions in CT images
Accurate and timely diagnosis of COVID-like virus is of paramount importance for lifesaving. In this work, deep learning techniques are applied to...
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Low-light image enhancement using the illumination boost algorithm along with the SKWGIF method
Low-light image enhancement is highly desirable for outdoor image processing and computer vision applications. Research conducted in recent years has...
