| 1 |
Images are Achilles' Heel of Alignment: Exploiting Visual Vulnerabilities for Jailbreaking Multimodal Large Language Models |
提出HADES方法以解决多模态大语言模型的对齐脆弱性问题 |
large language model multimodal |
✅ |
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| 2 |
UniCode: Learning a Unified Codebook for Multimodal Large Language Models |
提出UniCode以解决多模态大语言模型的编码限制问题 |
large language model multimodal |
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| 3 |
MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training |
提出MM1以优化多模态大语言模型的预训练方法 |
large language model multimodal chain-of-thought |
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| 4 |
VisionGPT-3D: A Generalized Multimodal Agent for Enhanced 3D Vision Understanding |
提出VisionGPT-3D以解决3D视觉理解中的多模态融合问题 |
large language model foundation model multimodal |
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| 5 |
VisionGPT: Vision-Language Understanding Agent Using Generalized Multimodal Framework |
提出VisionGPT以解决开放世界视觉感知问题 |
large language model foundation model multimodal |
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| 6 |
Eyes Closed, Safety On: Protecting Multimodal LLMs via Image-to-Text Transformation |
提出ECSO以增强多模态大语言模型的安全性 |
large language model multimodal |
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| 7 |
Griffon v2: Advancing Multimodal Perception with High-Resolution Scaling and Visual-Language Co-Referring |
提出Griffon v2以解决多模态感知中的高分辨率限制问题 |
large language model multimodal |
✅ |
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| 8 |
Towards Comprehensive Multimodal Perception: Introducing the Touch-Language-Vision Dataset |
提出TLV数据集以解决多模态感知中的语言缺失问题 |
multimodal |
✅ |
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| 9 |
OneTracker: Unifying Visual Object Tracking with Foundation Models and Efficient Tuning |
提出OneTracker以统一视觉目标跟踪任务 |
foundation model |
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| 10 |
M&M: Multimodal-Multitask Model Integrating Audiovisual Cues in Cognitive Load Assessment |
提出M&M模型以解决认知负荷评估中的多模态融合问题 |
multimodal |
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| 11 |
E2E-MFD: Towards End-to-End Synchronous Multimodal Fusion Detection |
提出E2E-MFD以解决多模态图像融合与目标检测的复杂训练问题 |
multimodal |
✅ |
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| 12 |
Annotation Free Semantic Segmentation with Vision Foundation Models |
提出无注释语义分割方法以解决数据标注成本高的问题 |
foundation model |
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| 13 |
Task-Specific Adaptation of Segmentation Foundation Model via Prompt Learning |
提出任务特定适应方法以解决SAM实例分割问题 |
foundation model |
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| 14 |
Leveraging Foundation Model Automatic Data Augmentation Strategies and Skeletal Points for Hands Action Recognition in Industrial Assembly Lines |
提出基于基础模型的数据增强策略以解决工业装配线手部动作识别问题 |
foundation model |
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| 15 |
XCoOp: Explainable Prompt Learning for Computer-Aided Diagnosis via Concept-guided Context Optimization |
提出可解释的提示学习框架以解决医疗诊断中的解释性问题 |
large language model foundation model |
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| 16 |
GiT: Towards Generalist Vision Transformer through Universal Language Interface |
提出GiT框架以解决视觉任务模块化不足问题 |
large language model foundation model |
✅ |
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| 17 |
Explore In-Context Segmentation via Latent Diffusion Models |
提出潜在扩散模型以解决上下文分割问题 |
foundation model |
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| 18 |
Introducing Routing Functions to Vision-Language Parameter-Efficient Fine-Tuning with Low-Rank Bottlenecks |
提出路由函数以增强视觉-语言参数高效微调 |
multimodal |
✅ |
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| 19 |
B-AVIBench: Towards Evaluating the Robustness of Large Vision-Language Model on Black-box Adversarial Visual-Instructions |
提出B-AVIBench以评估大型视觉语言模型的鲁棒性 |
multimodal |
✅ |
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| 20 |
Can We Talk Models Into Seeing the World Differently? |
研究多模态模型中的视觉偏差与语言提示的影响 |
large language model |
✅ |
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| 21 |
PYRA: Parallel Yielding Re-Activation for Training-Inference Efficient Task Adaptation |
提出PYRA以解决大规模模型训练与推理效率问题 |
foundation model |
✅ |
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