语言大模型 / LLM - arXivDaily 专题

2502.11440 2025-02-18 cs.CV 78%

Medical Image Registration Meets Vision Foundation Model: Prototype Learning and Contour Awareness

Hao Xu, Tengfei Xue, Jianan Fan, Dongnan Liu, Yuqian Chen, Fan Zhang, Carl-Fredrik Westin, Ron Kikinis, Lauren J. O'Donnell, Weidong Cai

机构 * The University of Sydney（悉尼大学）； Harvard Medical School（哈佛医学院）； University of Electronic Science and Technology of China（电子科技大学）； Brigham and Women’s Hospital（布莱根妇女医院）

专题命中领域大模型：foundation model(title,abstract)

Comments Accepted by Information Processing in Medical Imaging (IPMI) 2025

2502.11338 2025-02-18 cs.CV 78%

WRT-SAM: Foundation Model-Driven Segmentation for Generalized Weld Radiographic Testing

Yunyi Zhou, Kun Shi, Gang Hao

专题命中领域大模型：foundation model(title,abstract)

2502.03901 2025-02-07 cs.CV cs.RO 78%

LeAP: Consistent multi-domain 3D labeling using Foundation Models

Simon Gebraad, Andras Palffy, Holger Caesar

机构 * Delft University of Technology（代尔夫特理工大学）； PercivAI（珀西夫人工智能公司）

专题命中领域大模型：foundation model(title,abstract)

Comments 9 pages, 4 figures. ICRA25 preprint

2502.01000 2025-02-04 cs.CV 78%

Adapting Foundation Models for Few-Shot Medical Image Segmentation: Actively and Sequentially

Jingyun Yang, Guoqing Zhang, Jingge Wang, Yang Li

专题命中领域大模型：foundation model(title,abstract)

2403.13113 2025-01-31 eess.IV cs.CV 78%

Quantifying uncertainty in lung cancer segmentation with foundation models applied to mixed-domain datasets

Aneesh Rangnekar, Nishant Nadkarni, Jue Jiang, Harini Veeraraghavan

机构 * Memorial Sloan Kettering Cancer Center（纪念斯隆凯特琳癌症中心）

专题命中领域大模型：foundation model(title,abstract)

Comments Accepted at SPIE Medical Imaging 2025

2501.16992 2025-01-29 cs.CV 78%

FedEFM: Federated Endovascular Foundation Model with Unseen Data

Tuong Do, Nghia Vu, Tudor Jianu, Baoru Huang, Minh Vu, Jionglong Su, Erman Tjiputra, Quang D. Tran, Te-Chuan Chiu, Anh Nguyen

机构 * University of Liverpool（利物浦大学）； AIOZ Ltd.（AIOZ有限公司）； TU Wien（维也纳技术大学）； Xi’an Jiaotong-Liverpool University（西交利物浦大学）； National Tsing Hua University（国立清华大学）

专题命中领域大模型：foundation model(title,abstract)

Comments 8 pages. Accepted to ICRA 2025

2411.00326 2025-01-28 eess.IV cs.CV 78%

SpineFM: Leveraging Foundation Models for Automatic Spine X-ray Segmentation

Samuel J. Simons, Bartłomiej W. Papież

专题命中领域大模型：foundation model(title,abstract)

Comments 4 pages, 3 figures, accepted for ISBI 2025

2501.09210 2025-01-17 cs.HC cs.CY 78%

Personalized Parsons Puzzles as Scaffolding Enhance Practice Engagement Over Just Showing LLM-Powered Solutions

Xinying Hou, Zihan Wu, Xu Wang, Barbara J. Ericson

专题命中领域大模型：LLM(title,abstract)

2501.09138 2025-01-17 cs.CV 78%

Few-Shot Adaptation of Training-Free Foundation Model for 3D Medical Image Segmentation

Xingxin He, Yifan Hu, Zhaoye Zhou, Mohamed Jarraya, Fang Liu

机构 * Athinoula A. Martinos Center for Biomedical Imaging（阿西诺拉·A.马蒂诺斯生物医学成像中心）； Massachusetts General Hospital（麻省总医院）； Harvard Medical School（哈佛医学院）

专题命中领域大模型：foundation model(title,abstract)

2412.18089 2024-12-25 cs.CV 78%

Convolutional Prompting for Broad-Domain Retinal Vessel Segmentation

Qijie Wei, Weihong Yu, Xirong Li

专题命中领域大模型：prompting(title,abstract)

Comments Accepted by ICASSP 2025

2412.17306 2024-12-24 cs.SD cs.CV eess.AS 78%

Multiple Consistency-guided Test-Time Adaptation for Contrastive Audio-Language Models with Unlabeled Audio

Gongyu Chen, Haomin Zhang, Chaofan Ding, Zihao Chen, Xinhan Di

专题命中领域大模型：language model(title,abstract)

Comments 6 pages, 1 figure, accepted by ICASSP 2025

2412.16969 2024-12-24 cs.IR 78%

Multifaceted User Modeling in Recommendation: A Federated Foundation Models Approach

Chunxu Zhang, Guodong Long, Hongkuan Guo, Zhaojie Liu, Guorui Zhou, Zijian Zhang, Yang Liu, Bo Yang

专题命中领域大模型：foundation model(title,abstract)

Comments Accepted as a regular paper of AAAI25

2406.18868 2024-12-19 cs.CV 78%

Advancing Cross-domain Discriminability in Continual Learning of Vision-Language Models

Yicheng Xu, Yuxin Chen, Jiahao Nie, Yusong Wang, Huiping Zhuang, Manabu Okumura

专题命中领域大模型：language model(title,abstract)

Comments Accepted by NeurIPS 2024

2412.12492 2024-12-18 cs.CV 78%

DuSSS: Dual Semantic Similarity-Supervised Vision-Language Model for Semi-Supervised Medical Image Segmentation

Qingtao Pan, Wenhao Qiao, Jingjiao Lou, Bing Ji, Shuo Li

专题命中领域大模型：language model(title,abstract)

2407.10785 2024-12-18 eess.IV cs.CV 78%

Learning biologically relevant features in a pathology foundation model using sparse autoencoders

Nhat Minh Le, Ciyue Shen, Neel Patel, Chintan Shah, Darpan Sanghavi, Blake Martin, Alfred Eng, Daniel Shenker, Harshith Padigela, Raymond Biju, Syed Ashar Javed, Jennifer Hipp, John Abel, Harsha Pokkalla, Sean Grullon, Dinkar Juyal

专题命中领域大模型：foundation model(title,abstract)

2412.06365 2024-12-17 cs.CV 78%

Is Self-Supervision Enough? Benchmarking Foundation Models Against End-to-End Training for Mitotic Figure Classification

Jonathan Ganz, Jonas Ammeling, Emely Rosbach, Ludwig Lausser, Christof A. Bertram, Katharina Breininger, Marc Aubreville

专题命中领域大模型：foundation model(title,abstract)

Comments 6 pages, 2 figures

2404.11376 2024-12-10 cs.SE 78%

From Image to UML: First Results of Image Based UML Diagram Generation Using LLMs

Aaron Conrardy, Jordi Cabot

专题命中领域大模型：large language model(abstract,comments)；language model(abstract,comments)；LLM(abstract)

Comments Accepted in First Large Language Models for Model-Driven Engineering Workshop (LLM4MDE 2024)

Journal ref STAF Workshops 2024: 55-65

2412.00890 2024-12-03 cs.CV 78%

Exploring Large Vision-Language Models for Robust and Efficient Industrial Anomaly Detection

Kun Qian, Tianyu Sun, Wenhong Wang

专题命中领域大模型：language model(title,abstract)

Comments 14 pages

2408.08855 2024-12-03 cs.CV 78%

DPA: Dual Prototypes Alignment for Unsupervised Adaptation of Vision-Language Models

Eman Ali, Sathira Silva, Muhammad Haris Khan

专题命中领域大模型：language model(title,abstract)

Comments Accepted at WACV 2025

2407.01400 2024-12-02 cs.CV 78%

GalLoP: Learning Global and Local Prompts for Vision-Language Models

Marc Lafon, Elias Ramzi, Clément Rambour, Nicolas Audebert, Nicolas Thome

专题命中领域大模型：language model(title,abstract)

Journal ref The 18th European Conference on Computer Vision ECCV 2024

2312.04066 2024-12-02 cs.CV 78%

Combining inherent knowledge of vision-language models with unsupervised domain adaptation through strong-weak guidance

Thomas Westfechtel, Dexuan Zhang, Tatsuya Harada

专题命中领域大模型：language model(title,abstract)

Comments Accepted for WACV 2025

2411.17363 2024-11-27 cs.CV 78%

SAM-MPA: Applying SAM to Few-shot Medical Image Segmentation using Mask Propagation and Auto-prompting

Jie Xu, Xiaokang Li, Chengyu Yue, Yuanyuan Wang, Yi Guo

专题命中领域大模型：prompting(title,abstract)

Comments Accepted as an oral presentation at NeurIPS 2024 AIM-FM Workshop

2406.05285 2024-11-26 cs.CV 78%

VISTA3D: A Unified Segmentation Foundation Model For 3D Medical Imaging

Yufan He, Pengfei Guo, Yucheng Tang, Andriy Myronenko, Vishwesh Nath, Ziyue Xu, Dong Yang, Can Zhao, Benjamin Simon, Mason Belue, Stephanie Harmon, Baris Turkbey, Daguang Xu, Wenqi Li

专题命中领域大模型：foundation model(title,abstract)

2411.06921 2024-11-12 cs.CV 78%

UMFC: Unsupervised Multi-Domain Feature Calibration for Vision-Language Models

Jiachen Liang, Ruibing Hou, Minyang Hu, Hong Chang, Shiguang Shan, Xilin Chen

专题命中领域大模型：language model(title,abstract)

Comments NeurIPS 2024

2411.04892 2024-11-08 cs.CV 78%

In the Era of Prompt Learning with Vision-Language Models

Ankit Jha

专题命中领域大模型：language model(title)；foundation model(abstract)

Comments ICVGIP 2024, Young Faculty Symposium

2403.05408 2024-11-07 eess.IV cs.CV cs.DC 78%

FedFMS: Exploring Federated Foundation Models for Medical Image Segmentation

Yuxi Liu, Guibo Luo, Yuesheng Zhu

专题命中领域大模型：foundation model(title,abstract)

Comments Accepted by MICCAI'2024

2402.04555 2024-11-01 cs.CV cs.RO 78%

FM-Fusion: Instance-aware Semantic Mapping Boosted by Vision-Language Foundation Models

Chuhao Liu, Ke Wang, Jieqi Shi, Zhijian Qiao, Shaojie Shen

专题命中领域大模型：foundation model(title,abstract)

Comments Published in IEEE RAL

Journal ref vol. 9, no. 3, pp. 2232-2239, March 2024

2410.16820 2024-10-23 cs.CV 78%

AttriPrompter: Auto-Prompting with Attribute Semantics for Zero-shot Nuclei Detection via Visual-Language Pre-trained Models

Yongjian Wu, Yang Zhou, Jiya Saiyin, Bingzheng Wei, Maode Lai, Jianzhong Shou, Yan Xu

专题命中领域大模型：prompting(title,abstract)

Comments This article has been accepted for publication in a future issue of IEEE Transactions on Medical Imaging (TMI), but has not been fully edited. Content may change prior to final publication. Citation information: DOI: https://doi.org/10.1109/TMI.2024.3473745 . Code: https://github.com/wuyongjianCODE/AttriPrompter

2409.19540 2024-10-22 cs.CV 78%

LoRKD: Low-Rank Knowledge Decomposition for Medical Foundation Models

Haolin Li, Yuhang Zhou, Ziheng Zhao, Siyuan Du, Jiangchao Yao, Weidi Xie, Ya Zhang, Yanfeng Wang

专题命中领域大模型：foundation model(title,abstract)

Comments The paper is an extended version of our conference paper published on CVPR 2024. This work has been submitted to the IEEE for possible publication

2410.15990 2024-10-22 cs.CL cs.AI cs.LG 78%

Augmenting Legal Decision Support Systems with LLM-based NLI for Analyzing Social Media Evidence

Ram Mohan Rao Kadiyala, Siddartha Pullakhandam, Kanwal Mehreen, Subhasya Tippareddy, Ashay Srivastava

专题命中领域大模型：LLM(title)；分类 cs.CL、cs.AI、cs.LG

Comments 8 pages , accepted to emnlp 2024

1. 领域大模型 12705 篇

Medical Image Registration Meets Vision Foundation Model: Prototype Learning and Contour Awareness

WRT-SAM: Foundation Model-Driven Segmentation for Generalized Weld Radiographic Testing

LeAP: Consistent multi-domain 3D labeling using Foundation Models

Adapting Foundation Models for Few-Shot Medical Image Segmentation: Actively and Sequentially

Quantifying uncertainty in lung cancer segmentation with foundation models applied to mixed-domain datasets

FedEFM: Federated Endovascular Foundation Model with Unseen Data

SpineFM: Leveraging Foundation Models for Automatic Spine X-ray Segmentation

Personalized Parsons Puzzles as Scaffolding Enhance Practice Engagement Over Just Showing LLM-Powered Solutions

Few-Shot Adaptation of Training-Free Foundation Model for 3D Medical Image Segmentation

Convolutional Prompting for Broad-Domain Retinal Vessel Segmentation

Multiple Consistency-guided Test-Time Adaptation for Contrastive Audio-Language Models with Unlabeled Audio

Multifaceted User Modeling in Recommendation: A Federated Foundation Models Approach

Advancing Cross-domain Discriminability in Continual Learning of Vision-Language Models

DuSSS: Dual Semantic Similarity-Supervised Vision-Language Model for Semi-Supervised Medical Image Segmentation

Learning biologically relevant features in a pathology foundation model using sparse autoencoders

Is Self-Supervision Enough? Benchmarking Foundation Models Against End-to-End Training for Mitotic Figure Classification

From Image to UML: First Results of Image Based UML Diagram Generation Using LLMs

Exploring Large Vision-Language Models for Robust and Efficient Industrial Anomaly Detection

DPA: Dual Prototypes Alignment for Unsupervised Adaptation of Vision-Language Models

GalLoP: Learning Global and Local Prompts for Vision-Language Models

Combining inherent knowledge of vision-language models with unsupervised domain adaptation through strong-weak guidance

SAM-MPA: Applying SAM to Few-shot Medical Image Segmentation using Mask Propagation and Auto-prompting

VISTA3D: A Unified Segmentation Foundation Model For 3D Medical Imaging

UMFC: Unsupervised Multi-Domain Feature Calibration for Vision-Language Models

In the Era of Prompt Learning with Vision-Language Models

FedFMS: Exploring Federated Foundation Models for Medical Image Segmentation

FM-Fusion: Instance-aware Semantic Mapping Boosted by Vision-Language Foundation Models

AttriPrompter: Auto-Prompting with Attribute Semantics for Zero-shot Nuclei Detection via Visual-Language Pre-trained Models

LoRKD: Low-Rank Knowledge Decomposition for Medical Foundation Models

Augmenting Legal Decision Support Systems with LLM-based NLI for Analyzing Social Media Evidence