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cs.CV2026
OSMDA: OpenStreetMap-based Domain Adaptation for Remote Sensing VLMs
Stefan Maria Ailuro, Mario Markov, Mohammad Mahdi +3
Vision-Language Models (VLMs) adapted to remote sensing rely heavily on domain-specific image-text supervision, yet high-quality annotations for satellite and aerial imagery remain…
cs.CV2024
ImagiNet: A Multi-Content Benchmark for Synthetic Image Detection
Delyan Boychev, Radostin Cholakov
Recent generative models produce images with a level of authenticity that makes them nearly indistinguishable from real photos and artwork. Potential harmful use cases of these mod…
cs.CV2023
Interpretable Computer Vision Models through Adversarial Training: Unveiling the Robustness-Interpretability Connection
Delyan Boychev
With the perpetual increase of complexity of the state-of-the-art deep neural networks, it becomes a more and more challenging task to maintain their interpretability. Our work aim…