Search Results for author:
Found 6 papers, 0 papers with code
Scale Optimization Using Evolutionary Reinforcement Learning for Object Detection on Drone Imagery
A set of rewards measuring the localization accuracy, the accuracy of predicted labels, and the scale consistency among nearby patches are designed in the agent to guide the scale optimization.
Multi-View Spectrogram Transformer for Respiratory Sound Classification
Deep neural networks have been applied to audio spectrograms for respiratory sound classification.
Two-stage Rule-induction Visual Reasoning on RPMs with an Application to Video Prediction
Based on the two intrinsic natures of RPM problem, visual recognition and logical reasoning, we propose a Two-stage Rule-Induction Visual Reasoner (TRIVR), which consists of a perception module and a reasoning module, to tackle the challenges of real-world visual recognition and subsequent logical reasoning tasks, respectively.
Attention-based Dual-stream Vision Transformer for Radar Gait Recognition
Radar gait recognition is robust to light variations and less infringement on privacy.
Data augmentation by morphological mixup for solving Raven's Progressive Matrices
Raven's Progressive Matrices (RPMs) are frequently used in testing human's visual reasoning ability.
Analytics and Machine Learning in Vehicle Routing Research
The Vehicle Routing Problem (VRP) is one of the most intensively studied combinatorial optimisation problems for which numerous models and algorithms have been proposed.
