综述以图像掩码(Masked Image Modeling, MIM)预训练为例,总结了一套包含四个模块的通用框架,具体整理改进不同模块的基础MIM工作,并介绍了视觉下游任务、语音处理、科学人工智能等领域截至2023年年底的相关工作。同时,综述提供了整理相关论文的GitHub项目,欢迎关注、纠错和补充。 论文链接:arxiv.org/abs/2401.0089 项目...
2)Masked Autoencoders in Computer Vision: A Comprehensive Survey(2023) 这篇文章主要介绍了MAE(没错,就是指Masked Autoencoders Are Scalable Vision Learners这篇论文)的扩展。 方法论文 1)BEIT/BEIT V2 BEIT: BERT Pre-Training of Image Transformers Masked Image Modeling with Vector-Quantized Visual Token...
SimMIM: A Simple Framework for Masked Image Modeling. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 9653–9663, 2022. 2 [81] Wilson Yan, Yunzhi Zhang, Pieter Abbeel, and Aravind Srinivas. VideoGPT: Video Generation using...
We modified the EFCT, such that one face in each image pair always appeared to wear a face mask (see Fig. 1). The masks were plain colour patches that were superimposed over the faces automatically using custom written code. Like real face masks, they were designed to cover the nose, ...
. There are only a few studies that investigated the effect of non-medical and non-white masks on emotion recognition. Employing bi-state electrochromic displays, Genç et al. (2020) created smart masks—aMouthy Mask(reproducing the image of the mask wearer's mouth) and aSmiley Mask(using...
PI-MAE vs MAE architectures. PI-MAE uses the scanning pattern of laser to create physics informed masking in encoder. MAE randomly masks, with no information on where the laser scanned/what was masked. (a) Image input to the MAE model. (b) MAE encoder, which randomly masks the input im...
(C) Masked variational autoencoder training scheme for data of potentially different data types (e.g., count and continuous) with structured masks for modeling conditional distributions. During each training iteration (for which a subset of the training data is passed to the network), one mask ...
Second, we also design an automatic pathological image diagnosis process based on the GCMAE for clinical application, which can make full use of unlabeled pathological data to further improve the performance of the model. Finally, we also attempt to utilize a lightweight modeling method to ...
image representation is applied in computer vision in section. Training of the proposed model with mathematical modeling techniques is given in the section. Results and Discussion of the ViT3D model are presented in section. The study is concluded in a section with a discussion of future ...
Human Visual System—Image Formation, Encyclopedia of Imaging Science and Technology, Roorda, A., 2002, pp. 539-557. Perspectives in Refraction: Quantification of the Pinhole Effect. Miller et al. Survey of Ophthalmology, vol. 21, No. 4, Jan./Feb. 1977, pp. 347-350. Procyon: Marketin...