2. Related work 此前有一篇ICLR2020的文章,是在图像上取2*2的patch,(它们是在cifar数据上做的,图片分辨率只有32*32,所以也不需要用更大的patch),然后应用transformer,这和本文的ViT是很像的,但本文进一步证明了在大规模数据集上进行预训练的标准的transformer(不针对视觉任务做修改),能产生比CNN更好的结果。此...
ViTAR在实例分割和语义分割等下游任务中也展示了稳健的性能。 2 Related Works 视觉Transformer 。视觉 Transformer (ViT)是一种强大的视觉架构,它在图像分类、视频识别和视觉-语言学习上展示了令人印象深刻的性能。已经从数据和计算效率的角度做出了许多努力来增强ViT。在这些研究中,大多数研究者通过微调将模型适应比训...
本文的创新点主要在三个方面:(1)易于部署的NCB和NTB模块,两者共同构建Next-ViT;(2)独特的CNN-Transformer融合策略(图1.(e));(3)在TensorRT和CoreML上表现性能较为优异。 3)Related Work 图3.网络结构比较 图3中包含传统CNN网络结构与Transformer的网络结构:(a)是ResNet的结构;(b)是ConvNeXt参考Transformer特性...
2. Related Works Vision transformers. Transformers are a family of neu- ral networks that adopt channel-wise MLP blocks for per- location embedding (channel mixing) and attention [40] blocks for cross-location relation modeling (spatial mix- ing). Transformers were original...
DirtyHarryLYL/Transformer-in-Vision Star1.3k Recent Transformer-based CV and related works. computer-visiondeep-learningpapertransformervisual-languagemulti-modalself-attentionvision-transformers UpdatedAug 22, 2023 A collection of resources on applications of Transformers in Medical Imaging. ...
There have also been some challenges to visualize and interpret Transformer models. The usage of vision Transformers in driver distraction detection is not widely explored yet. We only identified one article related to the field (Koay et al., 2021a). Therefore, we hope to see more articles ...
Swin Transformer’s strong performance on various vision problems can drive this belief deeper in the community and encourage unified modeling of vision and language signals. 2. Related Work CNN and variants CNNs serve as the standard network ...
Recently, two more related concurrent works also propose to improve ViT by incorporating elements of CNNs to Transformers. Tokens-to-Token ViT [41] implements a progressive tokenization, and then uses a Transformer-based backbone in which the length of tokens is fixed. By contrast, our CvT impl...
Vision Relation Transformer for Unbiased Scene Graph Generation Gopika Sudhakaran1,3 Devendra Singh Dhami1,3 Kristian Kersting1,2,3 Stefan Roth1,2,3 1Department of Computer Science, Technical University of Darmstadt, Germany 2Centre for Cognitive Science, TU Darmstad...
A vision transformer (ViT) is a transformer-like model that handles vision processing tasks. Learn how it works and see some examples.