在本文中,我们使用来自 CLIP 的预训练模型完成了zero-shot的referring image segmentation,其中以一致的方式处理图像和表达式的global和local的context。为了在给定文本引用表达式的情况下定位图像中的object mask,我们提出了一种mask-guided visual encoder,该encoder在给定mask的情况下捕获图像的global和local的context需不需...
[CVPR 2023] Official code for "Zero-shot Referring Image Segmentation with Global-Local Context Features" (KCVS2024 Tutorial) - GuruJung/KCVS2024-Zero-shot-RIS
In this paper, we study a challenging task of zero-shot referring image segmentation. This task aims to identify the instance mask that is most related to a referring expression without training on pixel-level annotations. Previous research takes advantage of pre-trained cross-modal models, e.g...
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Open-Vocabulary Semantic Segmentation with Decoupled One-Pass Network 代码:https://github.com/CongHan08… diffusion model (七) diffusion model是一个zero-shot 分类器 莫叶何竹 非淡泊无以明志,非宁静无以致远。 Paper:Your Diffusion Model is Secretly a Zero-Shot ClassifierWebsite:diffusion-classifier.gi...
Zero-1-to-3: Zero-shot One Image to 3D Object (ICCV 2023) zero-shotnovel-view-synthesisimage-to-3dsingle-view-reconstructionstable-diffusion UpdatedDec 5, 2023 Python prs-eth/Marigold Star2.5k [CVPR 2024 - Oral, Best Paper Award Candidate] Marigold: Repurposing Diffusion-Based Image Generators...
Semantic segmentationCrack detectionAccurately pinpointing thin structures like surface cracks is pivotal for preventive structural maintenance. Given the unpredictable shapes, locations, and dimensions of surface cracks, image segmentation becomes the preferred objective for most research efforts. In contrast ...
Wang, Z., et al.: CRIS: clip-driven referring image segmentation. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 11686–11695 (2022) Google Scholar Xie, G., et al.: IM-IAD: industrial image anomaly detection benchmark in manufacturing. arXiv ...
Moreover, three typical instantiations are involved to uncover the interactions of few/zero-shot learning with visual semantic segmentation, including image semantic segmentation, video object segmentation, and 3D segmentation. Finally, the future challenges of few/zero-shot visual semantic segmentation ...
微软提出用CLIP来实现zero-shot语义分割, A Simple Baseline for Zero-shot Semantic Segmentation with Pre-trained Vision-language Model链接Recently, zero-shot image classification by vision-language pre-training has demonstrated incredible achievements, that the model can classify arbitr ...