3 citations · 4 across the 3 of their papers we have counts for
4 papers
The BRAVO Semantic Segmentation Challenge Results in UNCV2024
Tuan-Hung Vu, Eduardo Valle, Andrei Bursuc +16
We propose the unified BRAVO challenge to benchmark the reliability of semantic segmentation models under realistic perturbations and unknown out-of-distribution (OOD) scenarios. W…
PixOOD: Pixel-Level Out-of-Distribution Detection
Tomáš Vojíř, Jan Šochman, Jiří Matas
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 s…
Calibrated Out-of-Distribution Detection with a Generic Representation
Tomas Vojir, Jan Sochman, Rahaf Aljundi +1
Out-of-distribution detection is a common issue in deploying vision models in practice and solving it is an essential building block in safety critical applications. Most of the ex…
Continual Occlusions and Optical Flow Estimation
Michal Neoral, Jan Šochman, Jiří Matas
Two optical flow estimation problems are addressed: i) occlusion estimation and handling, and ii) estimation from image sequences longer than two frames. The proposed ContinualFlow…