[ECCV 2022] What to Hide from Your Students: Attention-Guided Masked Image Modeling - gkakogeorgiou/attmask
Pretraining vision transformers (ViT) with attention guided masked image modeling (MIM) has shown to increase downstream accuracy for natural image analysis. Hierarchical shifted window (Swin) transformer, often used in medical image analysis cannot use attention guided masking as it lacks an explicit...
This latter step encompasses patch extraction, performer attention, patch embedding, informative patch selection, masked image modeling, and the FSL application. The proposed techniques ensure the capability to address the issue of sample scarcity while ensuring scalability and efficiency. The efficacy of...
3.2.1. Masked-Edge Attention Module First, the module detects edge information. We mainly use the Fourier transform to quickly extract more obvious shallow semantic information, namely, edge information, 𝐸1E1, and enhance the information of 𝐸1E1. However, the edge extraction method we use...
In other words, interfering objects within the FOV at- tention but at unmatched depth will be masked with the help of depth attention. Subsequently, the output dual attention map concatenated with the scene image will be fed into a backbone for regression. 3.3. Gaze Target D...
It is a major challenge to understand the spatio-temporal interactions of driving scenarios in accident prediction tasks of intelligent vehicle systems. Given that the gaze information of experienced drivers during the driving process involves complex sp
Example-Guided Image Synthesis across Arbitrary Scenes using Masked Spatial-Channel Attention and Self-SupervisionExample-guided image synthesisSelf-supervised learningCorrespondence modelingEfficient attentionExample-guided image synthesis has recently been attempted to synthesize an image from a semantic label ...
3.2.1. Masked-Edge Attention Module First, the module detects edge information. We mainly use the Fourier transform to quickly extract more obvious shallow semantic information, namely, edge information, 𝐸1E1, and enhance the information of 𝐸1E1. However, the edge extraction method we use...