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Graph Regularized Encoder Training for Extreme Classification
The paper notices that in these settings, it is much more effective to use graph data to regularize encoder training than to implement a GCN.
Attention W-Net: Improved Skip Connections for better Representations
We propose Attention W-Net, a new U-Net based architecture for retinal vessel segmentation to address these problems.
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