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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Prompt-generated image-mask pairs, mixed with real UAV imagery at a 40:60 ratio, lift forest-regeneration segmentation by >15 F1 points over supervised baselines and sharply improve rare-species F1.
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 Data Scarcity: The Gen4Regen Dataset for Forest Regeneration Mapping
Prompt-generated image-mask pairs, mixed with real UAV imagery at a 40:60 ratio, lift forest-regeneration segmentation by >15 F1 points over supervised baselines and sharply improve rare-species F1.
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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%.