… In addition, the proposed backbone interacts spatio-temporal … Shan, and AB Chan, “DropMAE:
Masked autoencoders with … Representation learning for visual object tracking by masked …

… Masked autoencoders are scalable vision learners[C]//Proceedings … Videomae: Masked
autoencoders are data-efficient learners for … Masked autoencoders as spatiotemporal learners[J]. …

… method based on masked feature learning and convolutional … both spatial and temporal
features significantly benefit the DeepFake video detection. Finally, a masked CCT AutoEncoder …

… spatiotemporal information in surveying and mapping. We elaborate three key technologies
in spatiotemporal … MAE (masked autoencoder)采用自然语言领域完型式 方式进行训练,即在预…

… Notably, self-supervised learning has demonstrated success … -supervised learning methods
for visual representation learning … the input data itself for generating learning targets. Our first …

… Mask R-CNN with resnet101 as a backbone architecture. … weight update history to place the
learning rate. We set the batch … model to achieve better Spatio-temporal feature extraction in …

… 与VAE(variational autoencoder)一样,是一种深度潜在变量模型… 及PrenRNN_V2 等算法中的
mask 操作舍去, mask 操作便于长距离… for predictive learning using spatiotemporal LSTMs [C]∥ …

… To address this issue, a mask autoencoder network with attention … The method takes the
denoising autoencoder network as the … Spatial-temporal attention and GRU based interpretable …

… spatiotemporal features, this paper proposes a teacher-student spatiotemporal semi-supervised
learning … scheme into spatiotemporal learning where it designs an AutoEncoder-based …

… the pre-training learning. The future multimodal contexts have their potentials like learning
… , $\boldsymbol{v}$ 表示视觉特征,下标m表示掩蔽(mask).在视觉语言多模态任务中(Li等,2019),…