GitHub

scButterfly: a versatile single-cell cross-modality translation method via dual-aligned variational autoencoders

conda create -n scButterfly python==3.9 conda activate scButterfly scButterfly is available on PyPI, and could be installed using Illustrating with the translation between scRNA-seq and scATAC-seq ...
IEEE

Code-Aligned Autoencoders for Unsupervised Change Detection in Multimodal Remote Sensing Images

Abstract: Image translation with convolutional autoencoders has recently been used as an approach to multimodal change detection (CD) in bitemporal satellite images. A main challenge is the alignment ...
IEEE

Contrastive Masked Autoencoders are Stronger Vision Learners

Abstract: Masked image modeling (MIM) has achieved promising results on various vision tasks. However, the limited discriminability of learned representation manifests there is still plenty to go for ...
GitHub

CrossMAE: Rethinking Patch Dependence for Masked Autoencoders

The encoder part of CrossMAE matches exactly with MAE. Therefore, we use the same code for fine-tuning. We also encourage you to try CrossMAE checkpoints in your downstream applications. These models ...