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Found 3 papers, 1 papers with code
Eroding Trust In Aerial Imagery: Comprehensive Analysis and Evaluation Of Adversarial Attacks In Geospatial Systems
In critical operations where aerial imagery plays an essential role, the integrity and trustworthiness of data are paramount.
Vision-Language Pseudo-Labels for Single-Positive Multi-Label Learning
In general multi-label learning, a model learns to predict multiple labels or categories for a single input image.
StereoFlowGAN: Co-training for Stereo and Flow with Unsupervised Domain Adaptation
We introduce a novel training strategy for stereo matching and optical flow estimation that utilizes image-to-image translation between synthetic and real image domains.
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