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A hybrid deep-based model for scene text detection and recognition in meter reading
Scene text detection and recognition are important tasks. However, scene text detection and recognition in real world images is one of the most...
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A novel approach for improving open scene text translation with modified GAN
Text, as a vital tool for communication, is playing an imperative role in modern society. Precise high-level text translation systems are essential...
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A Two-Stage Federated Learning Framework for Class Imbalance in Aerial Scene Classification
Centralized aerial imagery analysis techniques face two challenges. The first one is the data silos problem, where data is located at different...
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Survey on learning-based scene extrapolation in robotics
Human’s imagination capability provides recognition of unseen environment which should be improved in robots in order to have better map**,...
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Audio-visual scene recognition using attention-based graph convolutional model
Scene recognition aims to automatically comprehend scenes, and is widely utilized in various fields such as autonomous driving, intelligent security,...
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Transformer networks with adaptive inference for scene graph generation
Understanding a visual scene requires not only identifying single objects in isolation but also inferring the relationships and interactions between...
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Natural scene text localization and detection using MSER and its variants: a comprehensive survey
Text localization and detection within natural scene images have generated significant interest among researchers due to their inherent complexity...
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Adaptive feature fusion for scene text script identification
Script identification is an essential preliminary step in multilingual OCR systems. This paper focuses primarily on tackling the challenging problem...
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Illuminator: Image-based illumination editing for indoor scene harmonization
Illumination harmonization is an important but challenging task that aims to achieve illumination compatibility between the foreground and background...
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SAR Scene Classification Based on Self-supervised Jigsaw Puzzles
Scene classification is a hot issue in the field of SAR image interpretation. Many SAR image interpretation tasks can be promoted with the...
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Intelligent recognition of audio scene based on hybrid attention and parallel deep feature processing under genetic evolutionary computing
Intelligent recognition of audio scene aims to analyze the environment information of audio signal with computer, which has important research...
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Parstr: partially autoregressive scene text recognition
An autoregressive (AR) decoder for scene text recognition (STR) requires numerous generation steps to decode a text image character by character but...
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A light-weight natural scene text detection and recognition system
Scene text recognition is an application of Computer Vision that analyses the scene image and recognizes the text present on it. This task has many...
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Generating comprehensive scene graphs with integrated multiple attribute detection
Scene graphs present the semantic highlights of the underlying image in directed graph form. Their automated generation is often restricted to...
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Active self-training for weakly supervised 3D scene semantic segmentation
Since the preparation of labeled data for training semantic segmentation networks of point clouds is a time-consuming process, weakly supervised...
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Semantic object-based urban scene analysis for feature fusion of VHR imagery and Lidar DSM
More complexities in urban areas due to the existence of buildings with roofs made of various materials, roads and parking lots, diverse plant...
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Text detection, recognition, and script identification in natural scene images: a Review
Text in natural scene images plays a vital role in scene understanding. It contains a rich and abundant amount of valuable semantic information...
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Similarity calculation method for images based on the scene graph
Many image similarity calculation methods have been applied to effectively manage and use image data. The problem is that the current image...
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Moving+: Semantic Scene Classification on YOLOv5
For intelligent moving agents, robots especially, it is important to be aware of the surroundings to help analyze the situation and what might happen...
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Advances in deep concealed scene understanding
Concealed scene understanding (CSU) is a hot computer vision topic aiming to perceive objects exhibiting camouflage. The current boom in terms of...
