Search Results for author:
Found 5 papers, 2 papers with code
PixOOD: Pixel-Level Out-of-Distribution Detection
We propose a dense image prediction out-of-distribution detection algorithm, called PixOOD, which does not require training on samples of anomalous data and is not designed for a specific application which avoids traditional training biases.
Performance Evaluation Methodology for Long-Term Visual Object Tracking
A long-term visual object tracking performance evaluation methodology and a benchmark are proposed.
Now you see me: evaluating performance in long-term visual tracking
We propose a new long-term tracking performance evaluation methodology and present a new challenging dataset of carefully selected sequences with many target disappearances.
FuCoLoT -- A Fully-Correlational Long-Term Tracker
We propose FuCoLoT -- a Fully Correlational Long-term Tracker.
Discriminative Correlation Filter with Channel and Spatial Reliability
Short-term tracking is an open and challenging problem for which discriminative correlation filters (DCF) have shown excellent performance.
Ranked #14 on
Visual Object Tracking
on VOT2017/18
(using extra training data)
