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A Category-Selective Encryption Framework for Privacy Protection of UAV Images

Paper recorded by Signals 4 on 2026-10-26 in cs.CV. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-26 on arXiv · recorded by Signals 4 on 2026-10-27

Category: cs.CV · 计算机视觉 · first seen 2026-10-27

Abstract

Imagery captured by unmanned aerial vehicle (UAV) systems increasingly raises privacy concerns, as UAV aerial surveillance routinely captures sensitive objects such as pedestrians and vehicles alongside ordinary scene content. Existing privacy-preserving approaches typically employ class-agnostic saliency detection to indiscriminately obfuscate all visually salient regions, leading to unnecessary

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#133 most recent of 739 cs.CV papers we have recorded · ↑ newer: VidEdit3D: Flexible 3D Gaussian Editing with Video Diffusion · ↓ older: MatAnyone-E: Sparse Memory Propagation for Efficient High-Resolution V
Cite this page: A Category-Selective Encryption Framework for Privacy Protection of UAV Images: the #133 most recent of 739 cs.CV papers we have recorded (as of 2026-10-26). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/a-category-selective-encryption-framework-for-privacy-protection-of-uav-images.html
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