76 citations · 179 across the 9 of their papers we have counts for
3 papers · 1 filter
AdaPool: Exponential Adaptive Pooling for Information-Retaining Downsampling
Alexandros Stergiou, Ronald Poppe
Pooling layers are essential building blocks of convolutional neural networks (CNNs), to reduce computational overhead and increase the receptive fields of proceeding convolutional…
Incremental Few-Shot Instance Segmentation
Dan Andrei Ganea, Bas Boom, Ronald Poppe
Few-shot instance segmentation methods are promising when labeled training data for novel classes is scarce. However, current approaches do not facilitate flexible addition of nove…
Refining activation downsampling with SoftPool
Alexandros Stergiou, Ronald Poppe, Grigorios Kalliatakis
Convolutional Neural Networks (CNNs) use pooling to decrease the size of activation maps. This process is crucial to increase the receptive fields and to reduce computational requi…