VPD-100K is a large-scale fine-grained visual privacy dataset with 100k images and 33 classes, accompanied by a frequency-domain attention module that improves detection on image and video benchmarks.
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Mixing real UAV imagery with 2101 AI-generated image-mask pairs improves semantic segmentation F1 scores for fine-grained forest species by over 15 percentage points overall and up to 30 points for rare classes.
A statistical framework using parametric estimation and quantile regression for execution times, combined with communication latency models, selects optimal GPU clock frequencies to achieve 95% probability of meeting 500 ms end-to-end deadlines while reducing energy consumption by over 50%.
citing papers explorer
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VPD-100K: Towards Generalizable and Fine-grained Visual Privacy Protection
VPD-100K is a large-scale fine-grained visual privacy dataset with 100k images and 33 classes, accompanied by a frequency-domain attention module that improves detection on image and video benchmarks.
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Leveraging Image Generators to Address Training Data Scarcity: The Gen4Regen Dataset for Forest Regeneration Mapping
Mixing real UAV imagery with 2101 AI-generated image-mask pairs improves semantic segmentation F1 scores for fine-grained forest species by over 15 percentage points overall and up to 30 points for rare classes.
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Statistical Analysis for Energy-Efficient Satellite Edge Computing with Latency Guarantees
A statistical framework using parametric estimation and quantile regression for execution times, combined with communication latency models, selects optimal GPU clock frequencies to achieve 95% probability of meeting 500 ms end-to-end deadlines while reducing energy consumption by over 50%.