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Found 4 papers, 2 papers with code
RobIn: A Robust Interpretable Deep Network for Schizophrenia Diagnosis
We collect a data set of psychiatric observations of patients based on DSM-5 criteria.
Absolute Zero-Shot Learning
Considering the increasing concerns about data copyright and privacy issues, we present a novel Absolute Zero-Shot Learning (AZSL) paradigm, i. e., training a classifier with zero real data.
UAV-ReID: A Benchmark on Unmanned Aerial Vehicle Re-identification in Video Imagery
As unmanned aerial vehicles (UAVs) become more accessible with a growing range of applications, the potential risk of UAV disruption increases.
Unmanned Aerial Vehicle Visual Detection and Tracking using Deep Neural Networks: A Performance Benchmark
Unmanned Aerial Vehicles (UAV) can pose a major risk for aviation safety, due to both negligent and malicious use.
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