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Common corruptions for evaluating and enhancing robustness in air-to-air visual object detection
A Arsenos, V Karampinis… - IEEE Robotics and …, 2024 - ieeexplore.ieee.org
The main barrier to achieving fully autonomous flights lies in autonomous aircraft navigation.
Managing non-cooperative traffic presents the most important challenge in this problem. The …
Managing non-cooperative traffic presents the most important challenge in this problem. The …
Physical Adversarial Attacks Against Aerial Object Detection With Feature-Aligned Expandable Textures
Physical adversarial attacks in aerial object detection have gained significant attention.
Existing adversarial patches exhibit subpar visual effects and encounter limitations when …
Existing adversarial patches exhibit subpar visual effects and encounter limitations when …
Discretization and decoupled knowledge distillation for arbitrary oriented object detection
C Chen, H Ding, M Duan - Digital Signal Processing, 2024 - Elsevier
In recent years, lightweight object detection networks have been increasingly applied to
remote sensing platforms due to their fast inference speed and flexible deployment …
remote sensing platforms due to their fast inference speed and flexible deployment …
Clip-guided source-free object detection in aerial images
Domain adaptation is crucial in aerial imagery, as the visual representation of these images
can significantly vary based on factors such as geographic location, time, and weather …
can significantly vary based on factors such as geographic location, time, and weather …
Common Corruptions for Enhancing and Evaluating Robustness in Air-to-Air Visual Object Detection
The main barrier to achieving fully autonomous flights lies in autonomous aircraft navigation.
Managing non-cooperative traffic presents the most important challenge in this problem. The …
Managing non-cooperative traffic presents the most important challenge in this problem. The …
[PDF][PDF] Ευρωστία σε εκτός κατανομής δεδομένα για κρίσιμες εφαρμογές της όρασης υπολογιστών
Α Αρσένος - 2025 - dspace.lib.ntua.gr
Artificial intelligence (AI) has progressed explosively in recent years. Driven by the advent of
deep learning, AI is being used in a variety of applications, across multiple scientific fields, in …
deep learning, AI is being used in a variety of applications, across multiple scientific fields, in …