Explore the latest peer-reviewed research with AI-generated summaries, key findings, and insights for easy understanding. All content is legally sourced from academic metadata with links to original papers.
This research explores Graph neural network for traffic forecasting: A survey, contributing new insights to the field of Artificial Intelligence.
Machine learning and artificial intelligence (ML/AI), previously considered black box approaches, are becoming more interpretable, as a result of the recent advances in eXplainable AI (XAI). Examples...
Scaling up language models has been shown to predictably improve performance and sample efficiency on a wide range of downstream tasks. Thus, emergent abilities cannot be predicted simply by extrapola...
Recently, unmanned aerial vehicles (UAVs), also known as drones, have come in a great diversity of several applications such as military, construction, image and video mapping, medical, search and res...
Collaboration between community members, researchers, and policy makers drives efforts to solve complex health problems such as obesity, alcohol misuse, and type 2 diabetes. Co-creation is an overarch...
Abstract Unlike satellite images, which are typically acquired and processed in near-real-time, global land cover products have historically been produced on an annual basis, often with substantial la...
This research explores Beluga whale optimization: A novel nature-inspired metaheuri..., contributing new insights to the field of Artificial Intelligence.
This research explores leveraging the role of machine learning and artificial intel..., contributing new insights to the field of Artificial Intelligence.
The Elgar Encyclopedia of Human Rights is the most comprehensive reference work in the field of international human rights protection. The topics range from substantive human rights to the relevant in...
TrackMate is an automated tracking software used to analyze bioimages and is distributed as a Fiji plugin. We illustrate qualitatively and quantitatively that these new capabilities function effective...
Vocabulary is now well recognized as an important focus in language teaching and learning. It also includes a new chapter on out of-classroom learning, which explores the effect of the Internet and el...
By decomposing the image formation process into a sequential application of denoising autoencoders, diffusion models (DMs) achieve advanced synthesis results on image data and beyond. By introducing c...
The “Roaring 20s” of visual recognition began with the introduction of Vision Transformers (ViTs), which quickly superseded ConvNets as the advanced image classification model. The outcome of this exp...
Since convolutional neural networks (CNNs) perform well at learning generalizable image priors from large-scale data, these models have been extensively applied to image restoration and related tasks....
We present techniques for scaling Swin Transformer up to 3 billion parameters and making it capable of training with images of up to 1,536x1,536 resolution. Using these techniques and self-supervised...
In this paper, we present Uformer, an effective and efficient Transformer-based architecture for image restoration, in which we build a hierarchical encoder-decoder network using the Transformer block...
This document is an Internet-Draft and is in full conformance with all provisions of Section 10 of RFC 2026. Internet-Drafts are draft documents valid for a maximum of six months and may be updated, r...
The vision community is witnessing a modeling shift from CNNs to Transformers, where pure Transformer architectures have attained top accuracy on the major video recognition benchmarks. The locality o...
Though neural radiance fields (NeRF) have demon-strated impressive view synthesis results on objects and small bounded regions of space, they struggle on “un-bounded” scenes, where the camera may poin...
With the rise of powerful pre-trained vision-language models like CLIP, it becomes essential to investigate ways to adapt these models to downstream datasets. Extensive experiments show that CoCoOp ge...