Prompt engineering for healthcare: Methodologies and applications
Prompt engineering is a critical technique in the field of natural language processing that
involves designing and optimizing the prompts used to input information into models, aiming …
involves designing and optimizing the prompts used to input information into models, aiming …
Prompt learning in computer vision: a survey
Prompt learning has attracted broad attention in computer vision since the large pre-trained
vision-language models (VLMs) exploded. Based on the close relationship between vision …
vision-language models (VLMs) exploded. Based on the close relationship between vision …
Improving open set recognition via visual prompts distilled from common-sense knowledge
Open Set Recognition (OSR) poses significant challenges in distinguishing known from
unknown classes. In OSR, the overconfidence problem has become a persistent obstacle …
unknown classes. In OSR, the overconfidence problem has become a persistent obstacle …
Assessing the performance of fully supervised and weakly supervised learning in breast cancer histopathology
H Kang, Q Xu, D Chen, S Ren, H Xie, L Wang… - Expert Systems with …, 2024 - Elsevier
Fully supervised learning (FSL) and weakly supervised learning based on multiple instance
learning (WSLMIL) have become two mainstream paradigms for performing computer-aided …
learning (WSLMIL) have become two mainstream paradigms for performing computer-aided …
VPE-WSVAD: Visual prompt exemplars for weakly-supervised video anomaly detection
Abstract Weakly Supervised Video Anomaly Detection (WSVAD) plays a crucial role in
visual surveillance by effectively distinguishing anomalies from normality with only video …
visual surveillance by effectively distinguishing anomalies from normality with only video …
MCPL: Multi-modal Collaborative Prompt Learning for Medical Vision-Language Model
Multi-modal prompt learning is a high-performance and cost-effective learning paradigm,
which learns text as well as image prompts to tune pre-trained vision-language (VL) models …
which learns text as well as image prompts to tune pre-trained vision-language (VL) models …
计算机视觉中的提示学习: 综述
Y LEI, J LI, Z LI, Y CAO, H SHAN, AY LEI, AJ LI, AZ LI… - Frontiers, 2024 - jzus.zju.edu.cn
自大型预训练视觉-语言模型(VLM) 爆发以来, 提示学习已在计算机视觉领域引发广泛关注.
基于VLM 构建的视觉和语言信息之间的密切关系, 提示学习成为许多重要应用领域(如人工智能 …
基于VLM 构建的视觉和语言信息之间的密切关系, 提示学习成为许多重要应用领域(如人工智能 …