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Found 6 papers, 3 papers with code
Hierarchical Memory Pool Based Edge Semi-Supervised Continual Learning Method
In addition, in order to further reduce the computational overhead for unlabeled samples, EdgeHML leverages a progressive learning method.
SoccerNet 2022 Challenges Results
The SoccerNet 2022 challenges were the second annual video understanding challenges organized by the SoccerNet team.
Deep Monocular Visual Odometry for Ground Vehicle
To push the limit, we analyze the motion pattern of a ground vehicle and focus on learning two-degrees-of-freedom motions by proposed motion focusing and decoupling.
TartanAir: A Dataset to Push the Limits of Visual SLAM
We present a challenging dataset, the TartanAir, for robot navigation task and more.
Robotics
Novel View Synthesis for Large-scale Scene using Adversarial Loss
Novel view synthesis aims to synthesize new images from different viewpoints of given images.
Scale Recovery for Monocular Visual Odometry Using Depth Estimated With Deep Convolutional Neural Fields
Normally, road plane and camera height are specified as reference to recover the scale.
