Object Discovery In Videos
1 papers with code • 0 benchmarks • 0 datasets
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FODVid: Flow-guided Object Discovery in Videos
Segmentation of objects in a video is challenging due to the nuances such as motion blurring, parallax, occlusions, changes in illumination, etc.
Motion-inductive Self-supervised Object Discovery in Videos
In this paper, we consider the task of unsupervised object discovery in videos.
Self-Supervision by Prediction for Object Discovery in Videos
Despite their irresistible success, deep learning algorithms still heavily rely on annotated data.
Object Discovery in Videos as Foreground Motion Clustering
We consider the problem of providing dense segmentation masks for object discovery in videos.
Unsupervised learning of foreground object detection
We train a student deep network to predict the output of a teacher pathway that performs unsupervised object discovery in videos or large image collections.
