3 papers
cs.CV2024
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…
cs.CV2024
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…
cs.CV2018
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…