Perceptual MAE for Image Manipulation Localization: A High-level Vision Learner Focusing on Low-level Features

no code implementations • 10 Oct 2023 • Xiaochen Ma, Jizhe Zhou, Xiong Xu, Zhuohang Jiang, Chi-Man Pun

While MAE has demonstrated an impressive understanding of object semantics, PMAE can also compensate for low-level semantics with our proposed enhancements.

Image Manipulation Image Manipulation Localization

Pre-training-free Image Manipulation Localization through Non-Mutually Exclusive Contrastive Learning

1 code implementation • ICCV 2023 • Jizhe Zhou, Xiaochen Ma, Xia Du, Ahmed Y. Alhammadi, Wentao Feng

We argue that contrastive learning is more suitable to tackle the data insufficiency problem for IML.

Contrastive Learning Image Manipulation +1

IML-ViT: Benchmarking Image Manipulation Localization by Vision Transformer

1 code implementation • 27 Jul 2023 • Xiaochen Ma, Bo Du, Zhuohang Jiang, Ahmed Y. Al Hammadi, Jizhe Zhou

To bridge this gap, based on the fact that artifacts are sensitive to image resolution, amplified under multi-scale features, and massive at the manipulation border, we formulate the answer to the former question as building a ViT with high-resolution capacity, multi-scale feature extraction capability, and manipulation edge supervision that could converge with a small amount of data.

Benchmarking Image Manipulation +1

GReS: Graphical Cross-domain Recommendation for Supply Chain Platform

no code implementations • 2 Sep 2022 • Zhiwen Jing, Ziliang Zhao, Yang Feng, Xiaochen Ma, Nan Wu, Shengqiao Kang, Cheng Yang, Yujia Zhang, Hao Guo

Supply Chain Platforms (SCPs) provide downstream industries with numerous raw materials.