Code: https://github.com/LLVM-AD/MAPLM One Prompt Word is Enough to Boost Adversarial Robustness for Pre-trained Vision-Language Models Paper:https://arxiv.org/pdf/2403.01849.pdf Code:https://github.com/TreeLLi/APT PromptKD: Unsupervised Prompt Distillation for Vision-Language Models Paper:http...
Code:https://github.com/LLVM-AD/MAPLM One Prompt Word is Enough to Boost Adversarial Robustness for Pre-trained Vision-Language Models Paper:https://arxiv.org/pdf/2403.01849.pdf Code:https://github.com/TreeLLi/APT PromptKD: Unsupervised Prompt Distillation for Vision-Language Models Paper:https...
One-Prompt to Segment All Medical Images, or say One-Prompt, combines the strengths of one-shot and interactive methods. In the inference stage, with just one prompted sample, it can adeptly handle the unseen task in a single forward pass. This method is elaborated in the paper One-Prompt...
实验表明SODA-SR在真实场景中具有广泛的适用性。 Multimodal Prompt Perceiver: Empower Adaptiveness, Generalizability and Fidelity for All-in-One Image Restoration 作者:艾雨昂(中国科学院自动化研究所),黄怀波(中国科学院自动化研究所),周晓强(中国科学技术大...
论文简介:视觉语言模型在异常检测中需要手工设计大量提示,为了适应自动化场景,我们提出了适用于异常检测的PromptAD。首先,提出的语义拼接将可学习提示与反义提示拼接来生成多样的负样本参与训练,使模型仅用正常样本仍能学习到有效提示。其次,提出的显示异常边界保证正...
One Prompt Word is Enough to Boost Adversarial Robustness for Pre-trained Vision-Language Models⭐code SC-Tune: Unleashing Self-Consistent Referential Comprehension in Large Vision Language Models⭐code RegionGPT: Towards Region Understanding Vision Language Model Enhancing Vision-Language Pre-training wi...
23、One-Shot Structure-Aware Stylized Image Synthesis 虽然基于GAN的模型在图像风格化任务上取得成功,但在对各种输入图像进行风格化时往往难以保持结构的完整性。最近,扩散模型已被用于图像风格化,但仍然缺乏保持输入图像原始质量的能力。 本文提出OSASIS:一种新的One-Shot风格化方法,具有结构保持的鲁棒性。展示了OSAS...
19、One-dimensional Adapter to Rule Them All: Concepts, Diffusion Models and Erasing Applications https://lyumengyao.github.io/projects/spm 20、FlashEval: Towards Fast and Accurate Evaluation of Text-to-image Diffusion Generative Models 三、风格迁移 ...
OMG-Seg: Is One Model Good Enough For All Segmentation? Fri 21 Jun 5 p.m. Towards Language-Driven Video Inpainting via Multimodal Large Language Models Thu 20 Jun 10:30 a.m. Symphonize 3D Semantic Scene Completion with Contextual Instance Queries ...
global prompt to capture general knowledge across all clients and domain prompts to capture domain-specific knowledge. They eliminate the restriction on the one-to-one mapping between source domains and local clients. Furthermore a dynamic query metric is introduced to automatically search the suitable...