Abstract: Meta-learning provides a promising solution to the issue of insufficient training samples in Pumi spectrogram recognition. However, capturing model uncertainty remains a critical challenge, ...
I am a Game Master (GM) who has always been passionate about tabletop role-playing games. My journey into development began unexpectedly after a career as a truck driver came to an end due to health ...
Abstract: Aircraft recognition in synthetic aperture radar (SAR) imagery is a fundamental mission in both military and civilian applications. Recently, deep learning has emerged a dominant paradigm ...
A PyTorch implementation of "Hierarchical Deep Temporal Models for Group Activity Recognition" (CVPR 2016). This repository reproduces and extends the baselines described in the paper and provides ...
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