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Found 3 papers, 2 papers with code
A Light-weight Transformer-based Self-supervised Matching Network for Heterogeneous Images
Nevertheless, annotated data is frequently limited in the field of remote sensing image matching.
VideoMAC: Video Masked Autoencoders Meet ConvNets
In this paper, we propose a new approach termed as \textbf{VideoMAC}, which combines video masked autoencoders with resource-friendly ConvNets.
Holistic Prototype Attention Network for Few-Shot VOS
Existing methods have demonstrated that the domain agent-based attention mechanism is effective in FSVOS by learning the correlation between support images and query frames.
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