多模态大模型

FOCUS: Internal MLLM Representations for Efficient Fine-Grained Visual Question Answering

Liangyu Zhong, Fabio Rosenthal, Joachim Sicking, Fabian Hüger, Thorsten Bagdonat, Hanno Gottschalk, Leo Schwinn

机构 * Technical University of Berlin（柏林技术大学） ； Technical University of Munich（慕尼黑技术大学） ； CARIAD SE ； Volkswagen AG（大众集团） 纠错

专题命中 图文多模态 ：MLLM(title,abstract)；multimodal(abstract)；image-text(abstract)；分类 cs.CV

Comments Accepted by NeurIPS 2025 - main track. Project page: https://focus-mllm-vqa.github.io/

Adapter-state Sharing CLIP for Parameter-efficient Multimodal Sarcasm Detection

Soumyadeep Jana, Sahil Danayak, Sanasam Ranbir Singh

机构 * Department of Computer Science（计算机科学系） ； Engineering, Indian Institute of Technology Guwahati, India（工程系、印度理工学院瓜哇提学院、印度） 纠错

专题命中 图文多模态 ：multimodal(title,abstract)；cross-modal(abstract)；image-text(abstract)；分类 cs.CL

DGTRSD & DGTRS-CLIP: A Dual-Granularity Remote Sensing Image-Text Dataset and Vision Language Foundation Model for Alignment

Weizhi Chen, Yupeng Deng, Jin Wei, Jingbo Chen, Jiansheng Chen, Yuman Feng, Zhihao Xi, Diyou Liu, Kai Li, Yu Meng

机构 * Aerospace Information Research Institute, Chinese Academy of Sciences（中国科学院 aerospace information research institute） ； School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences（中国科学院大学电子电气与通信工程学院） ； School of Information Network Security, People’s Public Security University of China（中国人民公安大学信息网络安全学院） 纠错

专题命中 图文多模态 ：image-text(title,abstract)；cross-modal(abstract)；分类 cs.CV、cs.AI

Teaching Sarcasm: Few-Shot Multimodal Sarcasm Detection via Distillation to a Parameter-Efficient Student

Soumyadeep Jana, Sanasam Ranbir Singh

机构 * Department of Computer Science and Engineering（计算机科学与工程系） ； Indian Institute of Technology Guwahati（印度理工学院古瓦哈蒂） 纠错

专题命中 图文多模态 ：multimodal(title,abstract)；image-text(abstract)；分类 cs.CL

Vision-Language Integration for Zero-Shot Scene Understanding in Real-World Environments

Manjunath Prasad Holenarasipura Rajiv, B. M. Vidyavathi

专题命中 图文多模态 ：multimodal(abstract)；cross-modal(abstract)；分类 cs.CV

Comments Preprint under review at IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025

Agentic Moderation: Multi-Agent Design for Safer Vision-Language Models

Juan Ren, Mark Dras, Usman Naseem

机构 * School of Computing, Macquarie University, Australia（计算机学院，麦考瑞大学，澳大利亚） 纠错

专题命中 图文多模态 ：multimodal(abstract)；分类 cs.AI

Test-Time Adaptive Object Detection with Foundation Model

Yingjie Gao, Yanan Zhang, Zhi Cai, Di Huang

机构 * State Key Laboratory of Complex and Critical Software Environment, Beihang University（复杂与关键软件环境国家重点实验室，北京航空航天大学） ； School of Computer Science and Engineering, Beihang University（北京航空航天大学计算机科学与工程学院） ； School of Computer Science and Information Engineering, Hefei University of Technology（合肥工业大学计算机科学与信息工程学院） 纠错

专题命中 图文多模态 ：multi-modal(abstract)；分类 cs.CV

Comments Accepted by NeurIPS 2025

Breast Cancer VLMs: Clinically Practical Vision-Language Train-Inference Models

Shunjie-Fabian Zheng, Hyeonjun Lee, Thijs Kooi, Ali Diba

机构 * Department of Medicine I, LMU University Hospital, LMU Munich, Germany（慕尼黑大学医学院第一医学部，LMU慕尼黑大学医院） ； Lunit Inc.（Lunit公司） 纠错

专题命中 图文多模态 ：multi-modal(abstract)；分类 cs.CV

Comments Accepted to Computer Vision for Automated Medical Diagnosis (CVAMD) Workshop at ICCV 2025