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Computer Science
Artificial Intelligence
Image Processing and Computer Vision
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Article
Adaptive Multi-Source Predictor for Zero-Shot Video Object Segmentation
Static and moving objects often occur in real-life videos. Most video object segmentation methods only focus on extracting and exploiting motion cues to perceive moving objects. Once faced with the frames of s...
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UniMod1K: Towards a More Universal Large-Scale Dataset and Benchmark for Multi-modal Learning
The emergence of large-scale high-quality datasets has stimulated the rapid development of deep learning in recent years. However, most computer vision tasks focus on the visual modality only, resulting in a h...
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Learning Feature Restoration Transformer for Robust Dehazing Visual Object Tracking
In recent years, deep-learning-based visual object tracking has obtained promising results. However, a drastic performance drop is observed when transferring a pre-trained model to changing weather conditions,...
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Open AccessHierarchical fuzzy regression functions for mixed predictors and an application to real estate price prediction
Categorical features appear in datasets from almost every practice area, including real estate datasets. One of the most critical handicaps of machine learning algorithms is that they are not designed to captu...
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Learning Adaptive Spatio-Temporal Inference Transformer for Coarse-to-Fine Animal Visual Tracking: Algorithm and Benchmark
Advanced general visual object tracking models have been drastically developed with the access of large annotated datasets and progressive network architectures. However, a general tracker always suffers domai...
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Artificial Immune System of Secure Face Recognition Against Adversarial Attacks
Deep learning-based face recognition models are vulnerable to adversarial attacks. In contrast to general noises, the presence of imperceptible adversarial noises can lead to catastrophic errors in deep face r...
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Learning Spatiotemporal Inconsistency via Thumbnail Layout for Face Deepfake Detection
The deepfake threats to society and cybersecurity have provoked significant public apprehension, driving intensified efforts within the realm of deepfake video detection. Current video-level methods are mostly...
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ROMOT: Referring-expression-comprehension open-set multi-object tracking
Traditional multi-object tracking is limited to tracking a predefined set of categories, whereas open-vocabulary tracking expands its capabilities to track novel categories. In this paper, we propose ROMOT (re...
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Hybrid arithmetic optimization algorithm with deep transfer learning based microarray gene expression classification model
Microarray gene expression (MGE) data classification is a vital challenge in biomedical and genomics research, designed to understand the difficult relations among genes and numerous biological states. In this...
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An adaptive learning paradigm: event detection through a novel dynamic arithmetic optimization-based ensemble SVM for data stream classification
Data stream mining is the process of generating continuous data stream records such as internet search, phone conversations, sensor data, etc. However it performs huge tasks such as frequency counting, cluster...
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Article
Editorial June 2024 ( Vol 40, Issue 6)
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Article
Reinforcement learning-based approach for plastic texture surface defects inspection
This paper proposes a novel data-enhanced virtual texture generation network for use in deep learning detection systems. The current methods of data enhancement, such as image flip**, scaling ratios, or Gene...
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Article
DMA-YOLO: multi-scale object detection method with attention mechanism for aerial images
Unmanned aerial vehicles are increasingly popular due to their ease of operation, low noise, and portability. However, existing object detection methods perform poorly in detecting small targets in densely arr...
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Image retrieval using underlying importance feature histogram
Deep features can exhibit superior retrieval performance than low-level features. However, low-level features (e.g. colour and orientation) can be extracted by generally imitating the human visual perceptual s...
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Radical-attended and Pinyin-attended malicious long-tail keywords detection
Netizens all over the world can search malicious websites by malicious long-tail keywords on search engines, but malicious websites are strictly prohibited by law in most countries, so the construction of shor...
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Towards Diverse Binary Segmentation via a Simple yet General Gated Network
In many binary segmentation tasks, most CNNs-based methods use a U-shape encoder-decoder network as their basic structure. They ignore two key problems when the encoder exchanges information with the decoder: ...
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A Spatio-Temporal Robust Tracker with Spatial-Channel Transformer and Jitter Suppression
The robustness of visual object tracking is reflected not only in the accuracy of the target localisation in every single frame, but also in the smoothness of the predicted motion of the tracked object across ...
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Robot-based therapy for improving academic skills of children with autism
Robots are being employed more as mediators between therapists and children with autism. This paper proposes a robot-based therapeutic method that uses the NAO robot, a developed mobile application called Auti...
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A registration algorithm for the infrared and visible images of apple based on active contour model
To study the fruit image fusion technology in the case of thermal infrared and visible heterogeneous sources and the method of online defect detection on fruit fusion images, this paper takes apple as the rese...
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Multi-threshold image segmentation algorithm based on Aquila optimization
Aquila Optimization (AO) is a recently proposed meta-heuristic algorithm, which has been proved to be more competitive than other meta-heuristic algorithms in function optimization and practical applications. ...
