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Found 3 papers, 2 papers with code
Rethinking Event-based Optical Flow: Iterative Deblurring as an Alternative to Correlation Volumes
Inspired by frame-based methods, state-of-the-art event-based optical flow networks rely on the explicit construction of correlation volumes, which are expensive to compute and store, at the same time prohibiting them from estimating high-resolution flow.
ALPaCA vs. GP-based Prior Learning: A Comparison between two Bayesian Meta-Learning Algorithms
Meta-learning or few-shot learning, has been successfully applied in a wide range of domains from computer vision to reinforcement learning.
The Phoenix Drone: An Open-Source Dual-Rotor Tail-Sitter Platform for Research and Education
In particular, the details in this paper and the available open-source materials should enable learners to gain an understanding of aerodynamics, flight control, state estimation, software design, and simulation, while experimenting with a unique aerial robot.
Robotics
