感觉和最近很火的何恺明的Masked Autoencoders在mask这一点上有形似之处,加之昨天和同学讨论时想到了一种有趣的类比方法,特此分享一下。 Self2Self: Masked AE: Self2Self概述 这是个单图的自监督的图像去噪以及图像修复的工作,是Inpainting类的图像降噪算法。 该工作以Dropout(包括像素尺度的伯努利采样)为核心,配...
Bootstrapped masked autoencoders for vision bert pretraining. arXiv preprint arXiv:2207.07116, 2022. [22] Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold,...
Different from dictio- nary learning compression methods such as principal com- ponent analysis(PCA), sparse coding, and autoencoders, DCT does not require any pre-training or preprocessing, and the computational complexity of DCT transformation is O(nlog(n)...
Park T, Zhu J-Y, Wang O, Lu J, Shechtman E, Efros AA, Zhang R (2020) Swapping autoencoder for deep image manipulation Ružić T, Pižurica A (2014) Context-aware patch-based image inpainting using Markov random field modeling. IEEE Trans Image Process 24(1):444–456 Article MATH...
deep multi-view clustering leveraging autoencoders has garnered significant attention due to its ability to simultaneously enhance feature learning capabil... YangZhiyuan,ZhuChangming,LiZishi - 《Multimedia Systems》 被引量: 0发表: 2024年 Deep dual incomplete multi-view multi-label classification via...
MaskPLAN allows users to influence layout generation with just the features they prioritize, using partial inputs in a Graph-structured Dynamic Masked Autoencoder (GDMAE), predicting layouts from incomplete design ideas. Video: Installation 1. install the requirements: Clone the repo and install cond...
Ranjan, A., Bolkart, T., Sanyal, S. & Black, M. J. Generating 3D faces using convolutional mesh autoencoders.Proc. European Conference on Computer Vision, 704–720 (ECCV, 2018). Liu, F., Zhu, R., Zeng, D., Zhao, Q. & Liu, X. Disentangling features in 3D face shapes for jo...
Deep denoising autoencoder for seismic random noise attenuation. Geophysics 2020, 85, V367–V376. [Google Scholar] [CrossRef] Zu, S.; Cao, J.; Fomel, S.; Yang, L.; Saad, O.M. Robust local slope estimation by deep learning. Geophys. Prospect. 2022, 70, 847–864. [Google Scholar]...
On this basis, a topic token is added into the encoder, which represents the scene topic and serves as a prior in the decoder to help us focus better on global semantic information. Moreover, a new Mask-Cross-Entropy strategy is designed in order to improve the diversity of the generated...
auDeep : On the basis of using recurrent Sequence-to-Sequence Autoencoders (S2SAE), the toolkit auDeep4 constructs unsupervised deep features [48], [49]. The learned features explicitly model the inherent sequential nature of the audio signal. Mel-spectrogram representations of the audio are cl...