AI RESEARCH
Privacy-Preserving Semantic Segmentation from Ultra-Low-Resolution RGB Inputs
arXiv CS.CV
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ArXi:2507.16034v2 Announce Type: replace-cross RGB-based semantic segmentation has become a mainstream approach for visual perception and is widely applied in a variety of downstream tasks. However, existing methods typically rely on high-resolution RGB inputs, which may expose sensitive visual content in privacy-critical environments. Ultra-low-resolution RGB sensing suppresses sensitive information directly during image acquisition, making it an attractive privacy-preserving alternative.