generalized mean pooling 参数generalized mean pooling参数 广义均值池化(GeneralizedMeanPooling)是一种常用的特征池化方法,它可以采用不同的参数$p$来控制池化的方式,从而更好地适应不同的数据特征。通常情况下,当$p=1$时,广义均值池化等价于普通的平均池化。当$p right
Efficient and general implementation of Generalized Mean Pooling (GeM). The original implementation is quite slower due to the F.avg_pool function and multiple kernel executions. We provide a new PyTorch implementation that is 4~20 times faster than the original. This implementation is suitable for...
Bui, D.V., Kubo, M. & Sato, H. Attention-based neural network with Generalized Mean Pooling for cross-view geo-localization between UAV and satellite.Artif Life Robotics28, 560–570 (2023). https://doi.org/10.1007/s10015-023-00867-x Download citation Received13 May 2022 Accepted06 March...
在得出最终GCD结果时,其对应文本也会起到一个补充视角的作用,具体地,将k个检索语句的feature进行mean pooling以得到图像特征的另一个view。两个view结合之后可以直接在对应latent上做semi-kmeans即可。 实验 效果感觉还是不错的,不过CLIP在generic数据集上zero-shot的性能都不差,也符合情理。 下表中Knowledge代表是否...
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The constraint that the learned feature have zero mean is necessary to make the problem have a unique solution; otherwise we could add a constant to all feature values and obtain a different solution with equal value of the slowness objective.The constraint that the features have unit variance ...