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Found 3 papers, 1 papers with code
Exploring Generalizable Distillation for Efficient Medical Image Segmentation
Considering the domain-invariant representative vectors in MSAN, we propose two generalizable knowledge distillation schemes for cross-domain distillation, Dual Contrastive Graph Distillation (DCGD) and Domain-Invariant Cross Distillation (DICD).
ShowFace: Coordinated Face Inpainting with Memory-Disentangled Refinement Networks
Furthermore, to better improve the inter-coordination between the corrupted and non-corrupted regions and enhance the intra-coordination in corrupted regions, we design InCo2 Loss, a pair of similarity based losses to constrain the feature consistency.
PAENet: A Progressive Attention-Enhanced Network for 3D to 2D Retinal Vessel Segmentation
In the three-dimensional feature learning path, we design a novel Adaptive Pooling Module (APM) and propose a new Quadruple Attention Module (QAM).
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