TinyML has made great progress in image classification, where the machine learning model must only predict the presence of a certain type of object in an image. On the other hand, object detection ...

The study addresses a common challenge in sustainable waste management: real-time classification of household waste under ...

Image classification is one of AI's most common tasks, where a system is required to recognize an object from a given image. Yet real life requires us to recognize not a single standalone object ...

Professor Baek Seung-ryul noted, "The SDDGR model will greatly contribute ... Stable Diffusion-based Deep Generative Replay for Class Incremental Object Detection, arXiv (2024).

In this work, we present the computational performance and classification accuracy for object classification ... refers to a class of neural network models with deep architectures, forms an ...

is pleased to announce the launch of its Object Detection and Classification (ODC) solution, designed to enhance the accuracy and reliability of monitoring vessels and aircraft. This solution ...