The progress in maritime obstacle detection is hindered by the lack of a...
Maritime obstacle detection is critical for safe navigation of autonomou...
We consider low-shot counting of arbitrary semantic categories in the im...
Visual object tracking has focused predominantly on opaque objects, whil...
The state-of-the-art in discriminative unsupervised surface anomaly dete...
Robust maritime obstacle detection is crucial for safe navigation of
aut...
Robust maritime obstacle detection is essential for fully autonomous unm...
Template-based discriminative trackers are currently the dominant tracki...
Visual surface anomaly detection aims to detect local image regions that...
Coastal water autonomous boats rely on robust perception methods for obs...
Small-sized unmanned surface vehicles (USV) are coastal water devices wi...
Obstacle detection by semantic segmentation shows a great promise for
au...
The best RGBD trackers provide high accuracy but are slow to run. On the...
Template-based discriminative trackers are currently the dominant tracki...
A long-term visual object tracking performance evaluation methodology an...
A long-term visual object tracking performance evaluation methodology an...
Convolutional neural networks excel in a number of computer vision tasks...
Standard RGB-D trackers treat the target as an inherently 2D structure, ...
We propose a new long-term tracking performance evaluation methodology a...
A new obstacle detection algorithm for unmanned surface vehicles (USVs) ...
Classical deep convolutional networks increase receptive field size by e...
We propose FCLT - a fully-correlational long-term tracker. The two main
...
Object-to-camera motion produces a variety of apparent motion patterns t...
Short-term tracking is an open and challenging problem for which
discrim...
Hierarchical feature learning based on convolutional neural networks (CN...
We propose a novel unsupervised image segmentation algorithm, which aims...
Obstacle detection plays an important role in unmanned surface vehicles
...
This paper addresses the problem of single-target tracker performance
ev...
The problem of visual tracking evaluation is sporting a large variety of...