5 papers
UCorr: Wire Detection and Depth Estimation for Autonomous Drones
Benedikt Kolbeinsson, Krystian Mikolajczyk
In the realm of fully autonomous drones, the accurate detection of obstacles is paramount to ensure safe navigation and prevent collisions. Among these challenges, the detection of…
Adversarial Negotiation Dynamics in Generative Language Models
Arinbjörn Kolbeinsson, Benedikt Kolbeinsson
Generative language models are increasingly used for contract drafting and enhancement, creating a scenario where competing parties deploy different language models against each ot…
Learning to Project for Cross-Task Knowledge Distillation
Dylan Auty, Roy Miles, Benedikt Kolbeinsson +1
Traditional knowledge distillation (KD) relies on a proficient teacher trained on the target task, which is not always available. In this setting, cross-task distillation can be us…
DDOS: The Drone Depth and Obstacle Segmentation Dataset
Benedikt Kolbeinsson, Krystian Mikolajczyk
The advancement of autonomous drones, essential for sectors such as remote sensing and emergency services, is hindered by the absence of training datasets that fully capture the en…
Multi-Class Segmentation from Aerial Views using Recursive Noise Diffusion
Benedikt Kolbeinsson, Krystian Mikolajczyk
Semantic segmentation from aerial views is a crucial task for autonomous drones, as they rely on precise and accurate segmentation to navigate safely and efficiently. However, aeri…