Researchers enhance data generation through the study of Conditional Hierarchical Variational Autoencoders.
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Computer Science - Computer Vision and Pattern Recognition
RSSThis research aims to create CAPTCHAs that confuse machines but are clear to humans.
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A look into improvements and challenges in machine navigation using vision and language.
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HESSO simplifies model compression, making neural networks more efficient without losing performance.
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Using satellite imagery and machine learning for accurate land classification.
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A new framework enhances object detection by identifying out-of-distribution instances using prototypes.
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A study on enhancing pedestrian safety through behavior prediction models.
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Introducing a novel method for accurately segmenting skin lesions using advanced techniques.
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AstroMAE utilizes masked autoencoders for improved redshift predictions in astronomy.
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KRONC offers a fast method for estimating camera positions using key points on vehicles.
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A study on how Mamba performs against Transformers for image-text tasks.
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A new approach improves segmentation with limited labeled data.
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A fresh approach to generating 3D room layouts from 2D input.
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A new approach improves visual dubbing by enhancing lip sync and speaker uniqueness.
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A new method improves brain tumor diagnosis while protecting patient privacy.
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Competition showcases efforts for safer driving models in adverse conditions.
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A new tool estimates pulmonary artery pressure using heart imaging videos.
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Introducing ERF-CondLaneNet for improved lane detection in complex road situations.
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This study presents a model that learns simulations from video input.
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A new dataset and competition are advancing deepfake detection methods for digital safety.
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Discover the benefits of Neural Video Representation Compression for efficient video handling.
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A novel framework enhances ultrasound imaging accuracy during labor monitoring.
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EMBA enhances panoramic imaging using event camera technology.
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A comprehensive dataset aimed at improving autonomous taxiing for aircraft safety.
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New techniques enhance face restoration, overcoming challenges posed by masks.
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BIFURC helps medical staff locate veins and arteries quickly in emergencies.
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Researchers refine 3-D modeling of underwater objects using sonar data.
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DetailCLIP improves image understanding by focusing on details and context.
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A new method improves realistic human motion creation through AI.
― 7 min read
A new technique improves clarity in X-ray images of bones, aiding diagnosis.
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gsplat simplifies Gaussian Splatting for efficient 3D image creation.
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A new method enables machines to accurately model moving and changing shapes.
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New framework enhances explanation clarity in autonomous vehicle decision-making.
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This article discusses methods for comparing images using nonlinear elasticity models.
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GigaGS tackles challenges in large 3D scene modeling with innovative techniques.
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Using CAD models can enhance robot pose estimation by addressing uncertainties.
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This framework leverages static images to create effective video model training.
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A new method enhances accuracy in tracking human movement from video.
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A method to enhance robots' understanding of building components using RGB-D data.
― 4 min read
A new method improves the speed and quality of creating 3D models from text.
― 7 min read