4 papers · 1 filter
ACCIDENT: A Benchmark Dataset for Vehicle Accident Detection from Traffic Surveillance Videos
Lukas Picek, Michal Čermák, Marek Hanzl +1
We introduce ACCIDENT, a benchmark dataset for traffic accident detection in CCTV footage, designed to evaluate models in supervised (IID and OOD) and zero-shot settings, reflectin…
CzechLynx: A Dataset for Individual Identification and Pose Estimation of the Eurasian Lynx
Lukas Picek, Elisa Belotti, Michal Bojda +14
We introduce CzechLynx, the first large-scale, open-access dataset for individual identification, pose estimation, and instance segmentation of the Eurasian lynx (Lynx lynx). Czech…
Zero-shot Hazard Identification in Autonomous Driving: A Case Study on the COOOL Benchmark
Lukas Picek, Vojtěch Čermák, Marek Hanzl
This paper presents our submission to the COOOL competition, a novel benchmark for detecting and classifying out-of-label hazards in autonomous driving. Our approach integrates div…
Adversarial examples by perturbing high-level features in intermediate decoder layers
Vojtěch Čermák, Lukáš Adam
We propose a novel method for creating adversarial examples. Instead of perturbing pixels, we use an encoder-decoder representation of the input image and perturb intermediate laye…