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Recent advances in scene image representation and classification
With the rise of deep learning algorithms nowadays, scene image representation methods have achieved a significant performance boost, particularly in...
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Semantic embedding: scene image classification using scene-specific objects
Visual scene understanding is a hot and challenging topic in image processing that aims to understand the general (global) concept of a scene image....
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Video anomaly detection based on scene classification
As a significant research hotspot in the field of computer vision, video anomaly detection plays an essential role in ensuring public safety. Anomaly...
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Towards exploiting believe function theory for object based scene classification problem
Scene classification is one of the active research domains of artificial intelligence (AI) with many real-world applications. This paper presents a...
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Scene Level Image Classification: A Literature Review
Convolutional neural networks (CNNs) have made significant contributions to natural and remote sensing imaging since the development of deep...
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Enhanced multi-level features for very high resolution remote sensing scene classification
Very high resolution (VHR) remote sensing (RS) scene classification is a challenging task due to the higher inter-class similarity and intra-class...
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A global-local feature adaptive fusion network for image scene classification
Convolutional neural networks (CNN) have been widely used in image scene classification and have achieved remarkable progress. However, because the...
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An autonomous lightweight model for aerial scene classification under labeled sample scarcity
Aerial scene classification using convolutional neural network (CNN) has gained substantial research interest during last few years. The performance...
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FCT: fusing CNN and transformer for scene classification
Scene classification based on convolutional neural networks (CNNs) has achieved great success in recent years. In CNNs, the convolution operation...
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Multi-level distance embedding learning for robust acoustic scene classification with unseen devices
Acoustic scene classification (ASC) aims to analyse the recording scene of a piece of audio. In real life, ASC has to deal with audio data from...
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HELViT: highly efficient lightweight vision transformer for remote sensing image scene classification
Remote sensing image scene classification methods based on convolutional neural networks (CNN) have been extremely successful. However, the...
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Acoustic scene classification using projection Kervolutional neural network
In this paper, a novel Projection Kervolutional Neural Network (ProKNN) is proposed for Acoustic Scene Classification (ASC). ProKNN is a combination...
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Snapshot ensemble-based residual network (SnapEnsemResNet) for remote sensing image scene classification
Due to their exceptional discriminative ability, the convolutional neural networks (CNNs) have been the center of attention for the research...
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GrapHiSM: a graph-based hierarchical semantics-driven model for aerial scene classification under scarcity of labelled samples
Aerial scene classification can be treated as the problem of acquiring high-level semantic interpretations of the earth-surface images, remotely...
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HSCNet++: Hierarchical Scene Coordinate Classification and Regression for Visual Localization with Transformer
Visual localization is critical to many applications in computer vision and robotics. To address single-image RGB localization, state-of-the-art...
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Classification of aesthetic natural scene images using statistical and semantic features
Aesthetic image analysis is essential for improving the performance of multimedia image retrieval systems, especially from a repository of social...
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NIR/RGB image fusion for scene classification using deep neural networks
Near-infrared (NIR) imaging can add very useful data to many visible range image processing applications. In this paper, new fusion techniques are...
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A single-stream adaptive scene layout modeling method for scene recognition
Scene recognition has been the foundation of research in computer vision fields. Because scene images typically are composed of specific regions...
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Acoustic scene classification with multi-temporal complex modulation spectrogram features and a convolutional LSTM network
Acoustic scene classification (ASC) is a map** from an environmental sound recording to predefined classes representing the auditory scene of the...
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Adaptive local recalibration network for scene recognition
Scene recognition is a computer vision task that categorizes scenes from photographs. In this paper, we introuduce the Adaptive Local Recalibration...
