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ENTITY Global Average Pooling

Global Average Pooling

PulseAugur coverage of Global Average Pooling — every cluster mentioning Global Average Pooling across labs, papers, and developer communities, ranked by signal.

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  1. RESEARCH · CL_90829 ·

    New Paper Reinterprets Image Classifiers as Multi-Instance Learners

    A new paper proposes a re-evaluation of global average pooling (GAP) in image classifiers, suggesting that these models can be interpreted as multi-instance learners. The research indicates that even when an image-level…

  2. TOOL · CL_41920 ·

    New method tackles CNNs' reliance on spurious correlations

    Researchers have developed Deep Attention Reweighting (DAR), a novel post-hoc method to improve the generalization and fairness of Convolutional Neural Networks (CNNs). DAR addresses the issue of CNNs exploiting spuriou…