SOURCE-LINKED INTELLIGENCE
Hierarchical Channel Stacking: A Structured Decision Framework for AI-Generated Image Detection
Many synthetic-image detectors produce accurate predictions but offer limited insight into how those decisions are formed. This paper introduces Hierarchical Channel Stacking (HCS), a compact framework for AI-generated image detection that converts intermediate CNN activations into a structured 60-dimensional representation organized across three progressively deeper backbone stages. HCS uses per-channel Level-1 classifiers and a Level-2 aggregator to produce image-level predictions while preserving explicit hierarchical structure for analysis. On a benchmark spanning GAN and diffusion generat
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-08-27T05:59:23.000Z
First collected: 2026-09-21T08:51:59.673Z. This is not the publication date.