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.
Text-conditioned image editing has recently attracted considerable interest. To better assess performance, we introduce TEdBench, a highly challenging image editing benchmark.
Biological systems are immensely complex, organized into a multi-scale hierarchy of functional units based on tightly regulated interactions between distinct molecules, cells, organs, and organisms. W...
Two-branch network architecture has shown its efficiency and effectiveness in real-time semantic segmentation tasks. Our family of PIDNets achieve the best trade-off between inference speed and accura...
Recent large-scale text-guided diffusion models provide powerful image generation capabilities. This allows for keeping both the model weights and the conditional embedding intact and hence enables ap...
This research explores Transfer learning enables predictions in network biology, contributing new insights to the field of Artificial Intelligence.
Multi-sensor fusion is essential for an accurate and reliable autonomous driving system. It establishes the new state of the art on the nuScenes benchmark, achieving 1.3% higher mAP and NDS on 3D obje...
According to numerous reports, ChatGPT represents a significant breakthrough in the field of artificial intelligence. Notably, this article presents the first comprehensive literature review of this t...
This research explores Dictionary learning for integrative, multimodal and scalable..., contributing new insights to the field of Artificial Intelligence.
This research explores Diffusion models in medical imaging: A comprehensive survey, contributing new insights to the field of Artificial Intelligence.
Artificial skin that simultaneously mimics sensory feedback and mechanical properties of natural skin holds substantial promise for next-generation robotic and medical devices. With a trilayer, high-p...
Transformer is a promising neural network learner, and has achieved great success in various machine learning tasks. This paper presents a comprehensive survey of Transformer techniques oriented at mu...
In recent years, the rise of advanced artificial intelligence technologies has had a profound impact on many fields, including education and research. In addition, we conducted several surveys with st...
Remarkable effectiveness of the channel or spatial attention mechanisms for producing more discernible feature representation are illustrated in various computer vision tasks. Specifically, apart from...
Mobile robot path planning refers to the design of the safely collision-free path with shortest distance and least time-consuming from the starting point to the end point by a mobile robot autonomousl...
A large amount of sequencing data is generated and processed every day with the continuous evolution of sequencing technology and the expansion of sequencing applications. For instance, the duplicatio...
ChatGPT, an artificial intelligence generated content (AIGC) model developed by OpenAI, has attracted world-wide attention for its capability of dealing with challenging language understanding and gen...
This research explores What’s trending in difference-in-differences? A synthesis of..., contributing new insights to the field of Artificial Intelligence.
This research explores Participatory action research, contributing new insights to the field of Artificial Intelligence.
Large language models such as ChatGPT can produce increasingly realistic text, with unknown information on the accuracy and integrity of using these models in scientific writing. Depending on publishe...
In recent years, deep learning (DL) has been the most popular computational approach in the field of machine learning (ML), achieving exceptional results on a variety of complex cognitive tasks, match...