​​Funnel Activation for Visual Recognition

Authors offer a new activation function for image recognition tasks, called Funnel activation (FReLU), that extends ReLU and PReLU to a 2D activation by adding a negligible overhead of spatial condition.

Extensive experiments on COCO, ImageNet and CityScape show significant improvement and robustness.


Paper: https://arxiv.org/abs/2007.11824
Code: https://github.com/megvii-model/FunnelAct

#deeplearning #activationfunction #computervision #pytorch

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🏥Self-supervised Learning for Medical images

Due to standard imaging procedures, medical images (X-ray, CT scans, etc) are usually well aligned.
This paper gives an opportunity to utilize such an alignment to automatically connect similar pairs of images for training.

Code: https://github.com/fhaghighi/TransVW
Paper: https://arxiv.org/pdf/2102.10680

#biolearning #medical #dl #pytorch #keras

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