基于此,我们又提出了一种仅需要少量微调就能达到 state-of-the-art 性能的方案:Tip-Adapter-F,实现了效率和性能的最佳折中。如下表 1 所示,Tip-Adapter 不需要任何训练时间,即可以将 CLIP 在 ImageNet 数据集提升 + 1.7% 准确率(Accuracy),而 Tip-Adapter-F 仅需要之前方案十分之一的训练时间(Epochs,Time)...
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由于 Pic2word 和 SEARLE 都基于 ViT-L/14 CLIP 模型,因此我们在 BLIP 上使用开源代码重新实现他们的方法,以便进行公平比较。我们的ISA主要使用两种轻量级视觉编码器:EfficientNet B2Tan & Le (2019)和EfficientViT M2Liu et al. (2023),作为两大类深度架构(CNN和Transformer)的代表。由于 CLIP 模型不包括与文本...
如下图所示为我们构建的CD-FSOD数据集,该数据集以MS-COCO作为源域S,以ArTaxOr、Clipart1K,DIOR,DeepFish,NEU-DET,UODD作为六个不同的目标域T; 我们也分析并在图中标注了每个数据集的Style,ICV,IB特征,每个数据与数据之间也展现了不同的数据集特性。 所有的数据集都整理成了统一的格式,并提供1shot、5shot...
(where mislabeling occurs systematically or in a biased manner) noise. Further, wearable sensing lacks reliable crowdsourcing unlike vision, where, cheap image labels can be acquired via Mechanical Turk. Our work addresses this shortcoming by proposing a highly effective yet simplistic approach. Our ...
DINOandSegment Anything Model (SAM)are two state-of-the-art models that can considerably speed up this process. In this comprehensive blog post, we will demonstrate how these models can be utilized for image annotation and the conversion of object detection datasets into instance segmentation ...
The goal is to identify patches containing the objects of interest while also being visually representative for all instances in the image. To do this, we first construct class prototypes using large language-vision models, including CLIP and Stable Diffusion, to select the patches containing the ...
Alpha-CLIP in Image Variation Alpha-CLIP 可用于大多数使用 CLIP 图像编码器的图像变化模型。例如,...
In this work, we address the task of few-shot part segmentation, which aims to segment the different parts of an unseen object using very few labeled examples. It is found that leveraging the textual space of a powerful pre-trained image-language model (such as CLIP) can be beneficial in...