HyperAI超神经
首页
资讯
最新论文
教程
数据集
百科
SOTA
LLM 模型天梯
GPU 天梯
顶会
开源项目
全站搜索
关于
中文
HyperAI超神经
Toggle sidebar
全站搜索…
⌘
K
首页
SOTA
Image Manipulation Localization
Image Manipulation Localization On Columbia
Image Manipulation Localization On Columbia
评估指标
Average Pixel F1(Fixed threshold)
评测结果
各个模型在此基准测试上的表现结果
Columns
模型名称
Average Pixel F1(Fixed threshold)
Paper Title
Repository
Early Fusion
.888
MMFusion: Combining Image Forensic Filters for Visual Manipulation Detection and Localization
Late Fusion
.864
MMFusion: Combining Image Forensic Filters for Visual Manipulation Detection and Localization
CMX (RGB+Bayar)
.872
CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers
TruFor
.859
TruFor: Leveraging all-round clues for trustworthy image forgery detection and localization
-
CR-CNN
.631
Constrained R-CNN: A general image manipulation detection model
-
MVSS-Net
.729
Image Manipulation Detection by Multi-View Multi-Scale Supervision
CMX (RGB+SRM)
.834
CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers
CAT-Net v2
.859
Learning JPEG Compression Artifacts for Image Manipulation Detection and Localization
SPAN
.759
SPAN: Spatial Pyramid Attention Network for Image Manipulation Localization
ManTraNet
.508
ManTra-Net: Manipulation Tracing Network for Detection and Localization of Image Forgeries With Anomalous Features
CMX (RGB+NP++)
.884
CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers
0 of 11 row(s) selected.
Previous
Next