10 citations · 15 across the 6 of their papers we have counts for
7 papers
Hierarchical Mask-Enhanced Dual Reconstruction Network for Few-Shot Fine-Grained Image Classification
Ning Luo, Meiyin Hu, Huan Wan +3
Few-shot fine-grained image classification (FS-FGIC) is challenging as it requires distinguishing visually similar subclasses with extremely limited labeled examples. Existing meth…
Mesoscopic Insights: Orchestrating Multi-scale & Hybrid Architecture for Image Manipulation Localization
Xuekang Zhu, Xiaochen Ma, Lei Su +7
The mesoscopic level serves as a bridge between the macroscopic and microscopic worlds, addressing gaps overlooked by both. Image manipulation localization (IML), a crucial techniq…
Beyond Visual Appearances: Privacy-sensitive Objects Identification via Hybrid Graph Reasoning
Zhuohang Jiang, Bingkui Tong, Xia Du +2
The Privacy-sensitive Object Identification (POI) task allocates bounding boxes for privacy-sensitive objects in a scene. The key to POI is settling an object's privacy class (priv…
IMDL-BenCo: A Comprehensive Benchmark and Codebase for Image Manipulation Detection & Localization
Xiaochen Ma, Xuekang Zhu, Lei Su +8
A comprehensive benchmark is yet to be established in the Image Manipulation Detection & Localization (IMDL) field. The absence of such a benchmark leads to insufficient and mislea…
SHAN: Object-Level Privacy Detection via Inference on Scene Heterogeneous Graph
Zhuohang Jiang, Bingkui Tong, Xia Du +2
With the rise of social platforms, protecting privacy has become an important issue. Privacy object detection aims to accurately locate private objects in images. It is the foundat…
Perceptual MAE for Image Manipulation Localization: A High-level Vision Learner Focusing on Low-level Features
Xiaochen Ma, Jizhe Zhou, Xiong Xu +2
Nowadays, multimedia forensics faces unprecedented challenges due to the rapid advancement of multimedia generation technology thereby making Image Manipulation Localization (IML)…
IML-ViT: Benchmarking Image Manipulation Localization by Vision Transformer
Xiaochen Ma, Bo Du, Zhuohang Jiang +3
Advanced image tampering techniques are increasingly challenging the trustworthiness of multimedia, leading to the development of Image Manipulation Localization (IML). But what ma…