A new module enhances segmentation of unknown objects without retraining core models.
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Computer Science - Computer Vision and Pattern Recognition
RSSThis article discusses challenges and advancements in accurate 3D scene representation.
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Texture-AD dataset bridges data gaps in industrial anomaly detection.
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New methods improve speed and accuracy in reconstructing medical shapes.
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Aesthetic QR codes enhance usability and appeal for businesses.
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New method enhances lymph node detection in cancer diagnosis through deep learning.
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This study proposes seam carving to improve image classification in CNNs.
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This framework improves segmentation performance with fewer examples and efficient model usage.
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A new AI method improves hyperspectral imaging during surgery by addressing lighting challenges.
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A new method improves 3D point cloud registration accuracy.
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MIP-GAF dataset helps analyze social dynamics in images.
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New methods improve how systems learn object interactions with less labeling.
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AgileIR improves image quality with reduced memory use, leveraging innovative techniques.
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Brain-Net-Diffusion improves fMRI data analysis for Autism Spectrum Disorder.
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Inf-MLLM enhances efficiency in handling complex data streams with limited resources.
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A new method enhances depth estimation in endoscopic images for better surgical outcomes.
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A new dataset enhances drone capabilities in challenging environments using thermal imaging.
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Introducing CollaMamba, a model to enhance understanding in technology fields.
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KRDistill enhances knowledge distillation by addressing data imbalance issues.
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Stereo vision enhances robot navigation, allowing for better obstacle detection.
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ViTTM enhances image processing through innovative token-based mechanisms.
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A practical method for detecting violence in public spaces using advanced video analysis.
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A method to improve model adaptability while preserving original skills.
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A system using deep learning to detect violent acts in video footage.
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A new method for adapting AI models with limited labeled data.
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A new model uses synthetic data to improve heart ultrasound analysis and efficiency.
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ENACT improves transformer model efficiency in object detection while maintaining accuracy.
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CoMM enhances machine learning by integrating various data types effectively.
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Innovative synthetic data method improves medical imaging accuracy while protecting patient privacy.
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RACC optimizes knowledge retrieval for more efficient visual question answering.
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New methods improve saliency prediction through controlled image edits.
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Explore the benefits of combining semi-supervised learning and contrastive learning in machine learning.
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A new system enhances traffic light detection for safer autonomous driving.
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A new method enhances the quality and realism of face swapping.
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Teaching machines to recognize and respond to human emotions ethically.
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A new method enables robots to create 3D models from a single image.
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A new method improves data compression efficiency and speed.
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A new model enhances accuracy and efficiency in medical image segmentation.
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New methods improve how machines recognize and respond to human emotions.
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A method automates image-text pair generation for remote sensing datasets.
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