This project implements an image captioning model that automatically generates descriptive captions for input images. It combines Convolutional Neural Networks (CNNs) for visual feature extraction and ...
A scientist in Japan has developed a technique that uses brain scans and artificial intelligence to turn a person’s mental images into descriptive sentences.
Tech Xplore on MSN
Image compression method combines classic techniques for greater efficiency and flexibility
In his research, Professor Marko Huhtanen from the University of Oulu, who specializes in applied and computational ...
Tech Xplore on MSN
Mind readers: How large language models encode theory-of-mind
Imagine you're watching a movie, in which a character puts a chocolate bar in a box, closes the box and leaves the room. Another person, also in the room, moves the bar from a box to a desk drawer.
Abstract: This paper introduces a groundbreaking enhancement to image captioning through a unique approach that harnesses the combined power of the Vision Encoder-Decoder model. By leveraging the Swin ...
Abstract: Semantic segmentation of remote sensing images is challenging due to complex scenes, substantial variations in object scales, and ambiguous boundaries. In this study, we propose a novel ...
A compact data format optimized for transmitting structured information to Large Language Models (LLMs) with 30-60% fewer tokens than JSON. TOON (Token-Oriented Object Notation) combines YAML's ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results