The Indirect Convolution algorithm avoids im2col by using an indirection buffer, reducing memory overhead proportionally to input channels and outperforming GEMM-based methods by up to 62% for convolutions requiring transformation.
Encoder-decoder with atrous separable convolution for semantic image segmentation
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Identity-Aware U-Net augments a U-Net backbone with an auxiliary embedding branch and triplet metric learning to discriminate among cells with near-identical shapes and textures.
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The Indirect Convolution Algorithm
The Indirect Convolution algorithm avoids im2col by using an indirection buffer, reducing memory overhead proportionally to input channels and outperforming GEMM-based methods by up to 62% for convolutions requiring transformation.
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Identity-Aware U-Net: Fine-grained Cell Segmentation via Identity-Aware Representation Learning
Identity-Aware U-Net augments a U-Net backbone with an auxiliary embedding branch and triplet metric learning to discriminate among cells with near-identical shapes and textures.