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ArtFilippov/acm_mm_explainable_ai_image_detection
acm_mm_explainable_ai_image_detection is a machine learning model from ArtFilippov. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
This repository contains the detector and explanation-generation checkpoints for “MSU Team at the Explainable Deepfake Detection Challenge 2026: Grounded Artifact Evidence for Deepfake Detection”.
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Updated Sep 20, 2026
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.safetensors52.6 GB · 83%
From the Hugging Face model README
This repository contains the detector and explanation-generation checkpoints for “MSU Team at the Explainable Deepfake Detection Challenge 2026: Grounded Artifact Evidence for Deepfake Detection”.
The pipeline combines image-level deepfake detection and Artifact Evidence Maps with class-conditional complex explanation generation and text-only explanation simplification.
| Path | Description | Size |
|---|---|---|
detector.ckpt | DINOv3 + Mesorch detector predicting the image-level fake probability and an Artifact Evidence Map. | 10.67 GB |
qwen/Qwen3-VL-8B_complex_fake/ | Complex explanation generator for images classified as fake. | 17.55 GB |
qwen/Qwen3-VL-8B_complex_real/ | Complex explanation generator for images classified as real. | 17.55 GB |
qwen/Qwen3-VL-8B_complex_to_simple/ | Shared text-only simplifier converting complex explanations into simple explanations for both classes. | 17.55 GB |
The detector checkpoint contains complete model weights in the xplain-detector-v2 format. Each Qwen directory contains a complete model, configuration files, tokenizer resources, and a chat template.
Total download size: approximately 63.31 GB.