The study introduces a deep learning method for focus stacking – a technique used to create all-in-focus images from multiple frames with different focus planes. Traditional deep learning approaches have…
Continue readingThe article presents a new framework for single-source domain generalization in lane detection. This is important for autonomous vehicles to navigate and localize their position on the road. The framework…
Continue readingThe paper addresses the challenge of performance degradation in Differentially Private Stochastic Gradient Descent with gradient clipping (DPSGD-GC), a tool for training deep learning models. The authors propose an error-feedback…
Continue readingDeep learning models have achieved significant success in various fields. However, they are prone to security and privacy challenges. The models can be subjected to different types of attacks like…
Continue readingMobile-Seed is a lightweight, dual-task framework designed for simultaneous semantic segmentation and boundary detection. It’s essential for numerous robotic tasks such as robot grasping, real-time semantic mapping, and sensor calibration….
Continue readingThis article delves into the intricacies of chatbot technology, from foundational concepts to advanced generative models like ChatGPT. It presents a comprehensive taxonomy of chatbot approaches and emphasizes on ChatGPT…
Continue readingThe study provides an approach for automatic video description, particularly focusing on manipulation actions. Unlike existing methods that generate single-sentence descriptions, the authors propose two frameworks that enable different levels…
Continue readingThis research proposes a novel solution for medical image classification using Graph Neural Networks (GNNs). The approach uses Image Foresting Transform to segment images, which are then transformed into graph-structured…
Continue readingThe article discusses a new approach to teeth segmentation in dental images using a weakly supervised learning method. This method reduces the need for extensive manual annotation, which is often…
Continue readingThe study focuses on increasing the resolution of depth maps obtained from 3D cameras using structured light technology. Two deep learning models, FDSR and DKN, are modified to work with…
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