Concerns with enabling computers to interpret and understand visual inputs, such as images and videos.
The article presents a novel approach in class-incremental learning named SEED. It addresses the issue of models forgetting previously acquired knowledge by selecting the most optimal expert for a task…
Continue readingThe paper investigates the challenge of recognizing distinct arm movements of robots in noisy environments using machine learning techniques. A vision system tracks the robot’s movements, and a deep learning…
Continue readingThis study introduces ICGNet, an architecture designed for object-centric grasping in robotics. The method takes pointcloud data from a single arbitrary viewing direction as input and generates an instance-centric representation…
Continue readingThe paper presents the ISENSE project aimed at assisting deaf students by offering technological tools for teaching sign language. It discusses the development of an application for Spanish and Italian…
Continue readingThe paper investigates the utility of conformal prediction sets in AI-advised decision-making. Through an experiment, it compares conformal prediction sets to displays of Top-1 and Top-k predictions for AI-advised image…
Continue readingThe article discusses the slow integration of AI methods in pathology due to technical and regulatory challenges. The EMPAIA initiative, an open and vendor-neutral platform, aims to overcome these issues….
Continue readingThe paper introduces an enhanced automated quality assessment network (IBS-AQSNet), a new method for assessing the quality of interactive building segmentation in high-resolution remote sensing imagery. The system combines a…
Continue readingThe paper introduces a multimodal Theory of Mind (ToM) question answering benchmark, MMToM-QA, and a new method, BIP-ALM (Bayesian Inverse Planning Accelerated by Language Models), for engineering multimodal ToM capacity….
Continue readingThis study investigates adversarial attacks through the lens of diffusion models, but not for enhancing the adversarial robustness of image classifiers. The focus is on utilizing the diffusion model to…
Continue readingThis research paper explores the use of connectionist techniques in phonetic speech recognition with strong latency constraints. The study’s aim is to enhance telephone conversation for hearing-impaired people by creating…
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