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lightweight model

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Xiaohongshu Tech REDtech
Xiaohongshu Tech REDtech
Feb 27, 2025 · Artificial Intelligence

SAFE: A Lightweight General AI Image Detection Method Achieving 96.7% Accuracy Across 33 Test Subsets

SAFE is a lightweight AI‑image detection framework using only 1.44 M parameters and 2.30 B FLOPs that preserves fine‑grained artifacts through crop‑based preprocessing, invariant augmentations, and high‑frequency wavelet features, achieving an average 96.7 % accuracy across 33 test subsets and strong generalization to unseen GAN and diffusion generators.

AI image detectionDeep LearningGenerative Models
0 likes · 11 min read
SAFE: A Lightweight General AI Image Detection Method Achieving 96.7% Accuracy Across 33 Test Subsets
AntTech
AntTech
Aug 25, 2023 · Artificial Intelligence

LayoutGCN: A Lightweight Graph Convolutional Network for Visually Rich Document Understanding

LayoutGCN is a lightweight, graph‑based framework that jointly encodes text, layout, and image features of visually rich documents, achieving competitive performance on multiple downstream tasks while drastically reducing model size and computational cost, making it suitable for edge deployment.

Document UnderstandingLayoutGCNMultimodal
0 likes · 24 min read
LayoutGCN: A Lightweight Graph Convolutional Network for Visually Rich Document Understanding
Bilibili Tech
Bilibili Tech
Sep 9, 2022 · Artificial Intelligence

Visual Lossless Deep Learning Pre‑processing for Video Transcoding Using DCT‑Based Low‑Rank Loss and a Lightweight Model

A visual‑lossless deep‑learning pre‑processor that employs a DCT‑based low‑rank loss and an ultra‑lightweight CPU‑friendly model achieves up to 20% bitrate reduction for 1080p videos while preserving high‑frequency details, enabling real‑time transcoding and bandwidth savings for popular content on Bilibili.

AIDCTDeep Learning
0 likes · 11 min read
Visual Lossless Deep Learning Pre‑processing for Video Transcoding Using DCT‑Based Low‑Rank Loss and a Lightweight Model