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Found 5 papers, 2 papers with code
N-RPN: Hard Example Learning for Region Proposal Networks
The region proposal task is to generate a set of candidate regions that contain an object.
Multi-object tracking with self-supervised associating network
So in this paper, we propose a novel self-supervised learning method using a lot of short videos which has no human labeling, and improve the tracking performance through the re-identification network trained in the self-supervised manner to solve the lack of training data problem.
CRVOS: Clue Refining Network for Video Object Segmentation
The encoder-decoder based methods for semi-supervised video object segmentation (Semi-VOS) have received extensive attention due to their superior performances.
Ranked #60 on
Semi-Supervised Video Object Segmentation
on DAVIS 2016
AD-VO: Scale-Resilient Visual Odometry Using Attentive Disparity Map
Visual odometry is an essential key for a localization module in SLAM systems.
AdaCoF: Adaptive Collaboration of Flows for Video Frame Interpolation
Video frame interpolation is one of the most challenging tasks in video processing research.
Ranked #14 on
Video Frame Interpolation
on X4K1000FPS
