- **多模态融合**:CMSA通过结合视觉和语言特征,使得模型能够理解语言描述中提到的对象,并在图像中进行精确分割。 - **多层自注意力**:CMSA在多个空间层次上执行自注意力,通过多分辨率特征融合来细化分割掩码。 - **优势**:在UNC、G-Ref和ReferIt等指代图像分割数据集上取得了良好的性能提升。 - **局限性*...
Transformers in Vision: A Survey.2020 论文地址: Transformers in Vision: A Surveyarxiv.org/abs/2101.01169 摘要: 变压器模型在自然语言任务上的惊人结果激起了视觉界研究它们在计算机视觉问题上的应用的兴趣。这在许多任务上带来了令人兴奋的进展,同时在模型设计中要求最小的归纳偏差。本调查的目的是提供一个...
首先给大家推荐两篇多模态的综述类文章,都是2022年发表的,一篇是VLP: A Survey on Vision-Language Pre-training(2022),另一篇是An Empirical Study of Training End-to-End Vision-and-Language Transformers(CVPR 2022)。这两篇文章对多模态模型的分类基本是一致的,我曾经在之前的文章五花八门的多模态模型如何选...
A Survey on Graph Neural Networks and Graph Transformers in Computer Vision: A Task-Oriented Perspe...
Vision Language Transformers: A Survey Transformer models have greatly improved performance and versatility over previous vision language models. They do so by pretraining models on a large generic... C Fields,C Kennington 被引量: 0发表: 2023年 Vision transformers for dense prediction: A survey Th...
To the best of our knowledge, this is the first survey that reviews VLMs for various visual recognition tasks such as image classification, object detection and semantic segmentation. Several relevant surveys have been conducted which focus on VLMs on various vision-language tasks instead, such as...
Vision transformers have become popular as a possible substitute to convolutional neural networks (CNNs) for a variety of computer vision applications. These transformers, with their ability to focus on global relationships in images, offer large learning capacity. However, ...
Vision Language Models for Vision Tasks: A Survey This is the repository of Vision Language Models for Vision Tasks: a Survey, a systematic survey of VLM studies in various visual recognition tasks including image classification, object detection, semantic segmentation, etc. For details, please refer...
Vision transformers for dense prediction: A survey作者: Highlights: • We provide a comprehensive review of state-of-the-art transformer methods. • We focus on the transformer-based methods in the area of dense prediction tasks. • We propose a model taxonomy according to architectures and...
Keywords:: #DeepLearning , #Transformer , #Survey Journal:: [[IEEE Transactions on Pattern Analysis and Machine Intelligence]] Date:: [[2022]] 状态:: #Done 1.2 Abstract Transformer, first applied to the field of natural language processing, is a type of deep neural network mainly based...