1 citations · 1 across the 2 of their papers we have counts for
4 papers
Benchmarking Adversarial Robustness and Adversarial Training Strategies for Object Detection
Alexis Winter, Jean-Vincent Martini, Romaric Audigier +2
Object detection models are critical components of automated systems, such as autonomous vehicles and perception-based robots, but their sensitivity to adversarial attacks poses a…
WarNav: An Autonomous Driving Benchmark for Segmentation of Navigable Zones in War Scenes
Marc-Emmanuel Coupvent des Graviers, Hejer Ammar, Christophe Guettier +2
We introduce WarNav, a novel real-world dataset constructed from images of the open-source DATTALION repository, specifically tailored to enable the development and benchmarking of…
CaMiT: A Time-Aware Car Model Dataset for Classification and Generation
Frédéric LIN, Biruk Abere Ambaw, Adrian Popescu +3
AI systems must adapt to evolving visual environments, especially in domains where object appearances change over time. We introduce Car Models in Time (CaMiT), a fine-grained data…
Open-set object detection: towards unified problem formulation and benchmarking
Hejer Ammar, Nikita Kiselov, Guillaume Lapouge +1
In real-world applications where confidence is key, like autonomous driving, the accurate detection and appropriate handling of classes differing from those used during training ar…