Results 91 to 100 of about 16,806 (262)

Generalization and Specialization in Zero-Shot Learning

, 2023
Image classification has made remarkable success due to deep learning techniques and vast amounts of labeled data. However, in real-world scenarios, the data distribution is long-tailed, making acquiring sufficient labels difficult, thus hindering the performance of deep models. To overcome these obstacles, Zero-Shot Learning (ZSL) is proposed.
openaire   +2 more sources

Intelligent Sky Guardians (InSkyGuard): An Aerial Robotic Swarm for Autonomous Detection and Entrapment of Rogue Multirotors

Advanced Robotics Research, EarlyView.
Intelligent Sky Guardians (InSkyGuard) is introduced as a four‐drone swarm that autonomously detects, tracks, and safely captures rogue drones using a coordinated net system. Computer vision and leader–follower control architecture enable synchronized enclosure, while integrated failsafes enhance system reliability. Validated through closed‐environment
Joshua Hastings, Levanya Dewanarayana, Iline Shaju, Haider Al‐Wizni, Sampson Marquis, Weicheng Huang, Pooya Sareh   +6 more
wiley   +1 more source

Zero and Few Short Learning Using Large Language Models for De-Identification of Medical Records

IEEE Access
The paper aims to evaluate and provide a comparative analysis of the performance and fine-tuning cost of various Large Language Models (LLMs) such as GPT-3.5, GPT-4, PaLM, Bard, and Llama in automating the de-identification of Protected Health ...
Y. S. Yashwanth, Rajashree Shettar
doaj   +1 more source

Survey of Zero-Shot Transfer Learning Methods Based on Vision-Language Pre-Trained Models [PDF]

Jisuanji gongcheng
In recent years, remarkable advancements in Artificial Intelligence (AI) across unimodal domains, such as computer vision and Natural Language Processing (NLP), have highlighted the growing importance and necessity of multimodal learning.
SUN Renke, XU Jinghao, HUANGFU Zhiyu, LI Zhongnian, XU Xinzheng
doaj   +1 more source

Intelligent Maintenance Review for Robots: Multimodal Information, Deep Diagnosis and Embodied Artificial Intelligence

Advanced Robotics Research, EarlyView.
This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao, Hongbo Wang, Naipeng Li, Shuo Wang, Yaguo Lei, Tonghai Wu, Junyi Cao   +6 more
wiley   +1 more source

Image–Text (IT)-Prompt: Prompt-Based Learning Framework Empowered by the Cluster-Based Nearest Class Mean (C-NCM) for Rehearsal-Free Contrastive Language–Image Pretraining (CLIP)-Based Continual Learning

Applied Sciences
The Contrastive Language–Image Pretraining (CLIP) model has demonstrated remarkable zero-shot capabilities through contrastive learning on large-scale text-image datasets, sparking interest in developing continuous learning methods to extend its ...
Li Jiao, Wenlong Fu, Xiaolu Chen
doaj   +1 more source

Flexible Sensors for Robotics Tactile Perception: A Review

Advanced Robotics Research, EarlyView.
Flexible tactile sensing for robotics is reviewed through four interconnected dimensions. Physical mechanisms include piezoresistive, capacitive, piezoelectric, triboelectric, iontronic, and optical sensing. Structural design includes bioinspired, defect‐based, and MEMS‐based tactile systems.
Yu Song, Ying Chen, Yihao Chen, Xue Feng
wiley   +1 more source

Leveraging the Power of Zero-Shot Learning for Malware Detection Using Application Programming Interface Call Sequences

IEEE Access
Currently one of the biggest threats to computer security is malware, which is software designed specifically to harm or infiltrate computers without the owner’s consent.
P. Meena, K. P. Rama Prabha
doaj   +1 more source

Joint Dictionaries for Zero-Shot Learning

Proceedings of the AAAI Conference on Artificial Intelligence, 2018
A classic approach toward zero-shot learning (ZSL) is to map the input domain to a set of semantically meaningful attributes that could be used later on to classify unseen classes of data (e.g. visual data). In this paper, we propose to learn a visual feature dictionary that has semantically meaningful atoms.
Soheil Kolouri, Mohammad Rostami, Yuri Owechko, Kyungnam Kim   +3 more
openaire   +3 more sources

Mr BMT Achieves Systemic Macrophage Replacement With Preservation of Tissue Homeostasis

Advanced Science, EarlyView.
Microglia replacement by bone marrow transplantation (Mr BMT) enables systemic replacement of tissue‐resident macrophages. Despite persistent macrophage and tissue remodeling across multiple organs, core biological functions and innate immune responses remain preserved, supporting long‐term maintenance of organismal homeostasis and the therapeutic ...
Yufei Xu, Miaozhan Zou, Yunshang Bai, Yang He, Zhihao Jin, Baozhi Yang, Jinjin Du, Pei Ouyang, Yuanyuan Cai, Yuheng Zhang, Bingying Du, Chengcheng Ge, Jian‐an Gong, Xiaoyu Li, Yuanyi Zheng, Jing Ding, Bo Peng, Yanxia Rao   +17 more
wiley   +1 more source