https://github.com/jingyi0000/VLM_survey INTRODUCTION 迁移学习范式的优势 Recently, a new learning paradigm Pre-training, Finetuning and Predcition has demonstrated great effectiveness in a wide range of visual recognition tasks. Under this new paradigm, a DNN model is first pretrained with certain...
最近由于LLM的盛行,模型微调的技术感动人心,vision language model pre-training应运而生,zero-shot prediction露出马脚。 首先,vision language model pre-training是啥呢,就是根据大量的图像-文本对来去学习其中的关系,比如CLIP模型比如一上来我有5对图像文本对,这5个pair就是我的正样本,另外,我继续两两配对出的...
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...
A survey of efficient fine-tuning methods for Vision-Language Models — Prompt and AdapterAdapterComputer visionEfficient fine-tuningPre-training modelPromptVision-language? 2024 Elsevier LtdVision Language Model (VLM) is a popular research field located at the fusion of computer vision and natural ...
However, Vision Language Models (VLMs) such as CLIP have significantly changed the paradigm and blurred the boundaries between these fields, again confusing researchers. In this survey, we first present a generalized OOD detection v2, encapsulating the evolution of AD, ND, OSR, OOD detection, ...
A Literature Survey about Why Is Prompt Tuning for Vision-Language Models Robust to Noisy Labels I.Summary Overview Background: A vision-language model can be adapted to a new classification task through few-shot prompt tuning. We find that such a prompt tuning process is highly robust to labe...
UniViLM: A Unified Video and Language Pre-Training Model for Multimodal Understanding and Generation, arXiv 2020/02 Other Resources Two recent surveys on pretrained language models Pre-trained Models for Natural Language Processing: A Survey, arXiv 2020/03 ...
[11] Qi Wu, Damien Teney, Peng Wang, Chunhua Shen, Anthony Dick, Anton van den Hengel. Visual question answering: A survey of methods and datasets. Computer Vision and Image Understanding (CVIU), v. 163, p. 21-40, 2017.[12] Damien Teney, Qi Wu, Anton van den Hengel. Visual ...
VLP: A Survey on Vision-language Pre-training In the past few years, the emergence of pre-training models has brought uni-modal fields such as computer vision (CV) and natural language processing (NLP)... FL Chen,DZ Zhang,ML Han,... - 《Machine Intelligence Research》 被引量: 0发表:...
2024 Deep Industrial Image Anomaly Detection: A Survey Machine Intelligence Research Not available 2024 AnomalyCLIP: Object-agnostic Prompt Learning for Zero-shot Anomaly Detection arxiv Pytorch 2023 Anomaly detection for industrial quality assurance: A comparative evaluation of unsupervised deep learning mo...