Search Results for author:
Found 5 papers, 1 papers with code
Geodesic Distance Histogram Feature for Video Segmentation
This paper proposes a geodesic-distance-based feature that encodes global information for improved video segmentation algorithms.
Ranked #1 on
Video Segmentation
on SegTrack v2
Co-localization with Category-Consistent Features and Geodesic Distance Propagation
Co-localization is the problem of localizing objects of the same class using only the set of images that contain them.
Ranked #1 on
Object Localization
on PASCAL VOC 2012
Squared Earth Mover's Distance-based Loss for Training Deep Neural Networks
In this work, we propose to leverage these relationships between classes by training deep nets with the exact squared Earth Mover's Distance (also known as Wasserstein distance) for single-label classification.
Efficient Video Segmentation Using Parametric Graph Partitioning
Video segmentation is the task of grouping similar pixels in the spatio-temporal domain, and has become an important preprocessing step for subsequent video analysis.
Modeling Clutter Perception using Parametric Proto-object Partitioning
Visual clutter, the perception of an image as being crowded and disordered, affects aspects of our lives ranging from object detection to aesthetics, yet relatively little effort has been made to model this important and ubiquitous percept.
