IML-ViT: Benchmarking Image Manipulation Localization by Vision Transformer
Fuente:
arXiv
Saved in:
| Main Authors: | Ma, Xiaochen, Du, Bo, Jiang, Zhuohang, Du, Xia, Hammadi, Ahmed Y. Al, Zhou, Jizhe |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
IMDL-BenCo: A Comprehensive Benchmark and Codebase for Image Manipulation Detection & Localization
by: Ma, Xiaochen, et al.
Published: (2024)
by: Ma, Xiaochen, et al.
Published: (2024)
Mesoscopic Insights: Orchestrating Multi-scale & Hybrid Architecture for Image Manipulation Localization
by: Zhu, Xuekang, et al.
Published: (2024)
by: Zhu, Xuekang, et al.
Published: (2024)
SHAN: Object-Level Privacy Detection via Inference on Scene Heterogeneous Graph
by: Jiang, Zhuohang, et al.
Published: (2024)
by: Jiang, Zhuohang, et al.
Published: (2024)
Beyond Visual Appearances: Privacy-sensitive Objects Identification via Hybrid Graph Reasoning
by: Jiang, Zhuohang, et al.
Published: (2024)
by: Jiang, Zhuohang, et al.
Published: (2024)
EfficientIML: Efficient High-Resolution Image Manipulation Localization
by: Li, Jinhan, et al.
Published: (2025)
by: Li, Jinhan, et al.
Published: (2025)
PDC-ViT : Source Camera Identification using Pixel Difference Convolution and Vision Transformer
by: Elharrouss, Omar, et al.
Published: (2025)
by: Elharrouss, Omar, et al.
Published: (2025)
ViT-5: Vision Transformers for The Mid-2020s
by: Wang, Feng, et al.
Published: (2026)
by: Wang, Feng, et al.
Published: (2026)
EA-ViT: Efficient Adaptation for Elastic Vision Transformer
by: Zhu, Chen, et al.
Published: (2025)
by: Zhu, Chen, et al.
Published: (2025)
M^3:Manipulation Mask Manufacturer for Arbitrary-Scale Super-Resolution Mask
by: Yang, Xinyu, et al.
Published: (2024)
by: Yang, Xinyu, et al.
Published: (2024)
ViT-FIQA: Assessing Face Image Quality using Vision Transformers
by: Atzori, Andrea, et al.
Published: (2025)
by: Atzori, Andrea, et al.
Published: (2025)
VAT: Vision Action Transformer by Unlocking Full Representation of ViT
by: Li, Wenhao, et al.
Published: (2025)
by: Li, Wenhao, et al.
Published: (2025)
Omni-IML: Towards Unified Image Manipulation Localization
by: Qu, Chenfan, et al.
Published: (2024)
by: Qu, Chenfan, et al.
Published: (2024)
ACC-ViT : Atrous Convolution's Comeback in Vision Transformers
by: Ibtehaz, Nabil, et al.
Published: (2024)
by: Ibtehaz, Nabil, et al.
Published: (2024)
ADFQ-ViT: Activation-Distribution-Friendly Post-Training Quantization for Vision Transformers
by: Jiang, Yanfeng, et al.
Published: (2024)
by: Jiang, Yanfeng, et al.
Published: (2024)
ViT-DD: Multi-Task Vision Transformer for Semi-Supervised Driver Distraction Detection
by: Ma, Yunsheng, et al.
Published: (2022)
by: Ma, Yunsheng, et al.
Published: (2022)
ViT-AdaLA: Adapting Vision Transformers with Linear Attention
by: Li, Yifan, et al.
Published: (2026)
by: Li, Yifan, et al.
Published: (2026)
Equi-ViT: Rotational Equivariant Vision Transformer for Robust Histopathology Analysis
by: Chen, Fuyao, et al.
Published: (2026)
by: Chen, Fuyao, et al.
Published: (2026)
ViT-1.58b: Mobile Vision Transformers in the 1-bit Era
by: Yuan, Zhengqing, et al.
Published: (2024)
by: Yuan, Zhengqing, et al.
Published: (2024)
LeMeViT: Efficient Vision Transformer with Learnable Meta Tokens for Remote Sensing Image Interpretation
by: Jiang, Wentao, et al.
Published: (2024)
by: Jiang, Wentao, et al.
Published: (2024)
Can We Get Rid of Handcrafted Feature Extractors? SparseViT: Nonsemantics-Centered, Parameter-Efficient Image Manipulation Localization through Spare-Coding Transformer
by: Su, Lei, et al.
Published: (2024)
by: Su, Lei, et al.
Published: (2024)
ViT-CoMer: Vision Transformer with Convolutional Multi-scale Feature Interaction for Dense Predictions
by: Xia, Chunlong, et al.
Published: (2024)
by: Xia, Chunlong, et al.
Published: (2024)
ViT$^3$: Unlocking Test-Time Training in Vision
by: Han, Dongchen, et al.
Published: (2025)
by: Han, Dongchen, et al.
Published: (2025)
PROMPT-IML: Image Manipulation Localization with Pre-trained Foundation Models Through Prompt Tuning
by: Liu, Xuntao, et al.
Published: (2024)
by: Liu, Xuntao, et al.
Published: (2024)
HIRI-ViT: Scaling Vision Transformer with High Resolution Inputs
by: Yao, Ting, et al.
Published: (2024)
by: Yao, Ting, et al.
Published: (2024)
MPTQ-ViT: Mixed-Precision Post-Training Quantization for Vision Transformer
by: Tai, Yu-Shan, et al.
Published: (2024)
by: Tai, Yu-Shan, et al.
Published: (2024)
LF-ViT: Reducing Spatial Redundancy in Vision Transformer for Efficient Image Recognition
by: Hu, Youbing, et al.
Published: (2024)
by: Hu, Youbing, et al.
Published: (2024)
DeNAS-ViT: Data Efficient NAS-Optimized Vision Transformer for Ultrasound Image Segmentation
by: Chen, Renqi, et al.
Published: (2024)
by: Chen, Renqi, et al.
Published: (2024)
CAS-ViT: Convolutional Additive Self-attention Vision Transformers for Efficient Mobile Applications
by: Zhang, Tianfang, et al.
Published: (2024)
by: Zhang, Tianfang, et al.
Published: (2024)
ViT-Explainer: An Interactive Walkthrough of the Vision Transformer Pipeline
by: Hernandez, Juan Manuel, et al.
Published: (2026)
by: Hernandez, Juan Manuel, et al.
Published: (2026)
UGD-IML: A Unified Generative Diffusion-based Framework for Constrained and Unconstrained Image Manipulation Localization
by: Mi, Yachun, et al.
Published: (2025)
by: Mi, Yachun, et al.
Published: (2025)
hZACH-ViT: Curved Latent Geometry for Compact Vision Transformers in Low-Data Medical Imaging
by: Angelakis, Athanasios
Published: (2026)
by: Angelakis, Athanasios
Published: (2026)
Language-Unlocked ViT (LUViT): Empowering Self-Supervised Vision Transformers with LLMs
by: Kuzucu, Selim, et al.
Published: (2025)
by: Kuzucu, Selim, et al.
Published: (2025)
Hyb-KAN ViT: Hybrid Kolmogorov-Arnold Networks Augmented Vision Transformer
by: Dey, Sainath, et al.
Published: (2025)
by: Dey, Sainath, et al.
Published: (2025)
SVD-ViT: Does SVD Make Vision Transformers Attend More to the Foreground?
by: Murata, Haruhiko, et al.
Published: (2026)
by: Murata, Haruhiko, et al.
Published: (2026)
ViTs are Everywhere: A Comprehensive Study Showcasing Vision Transformers in Different Domain
by: Mia, Md Sohag, et al.
Published: (2023)
by: Mia, Md Sohag, et al.
Published: (2023)
DIOR-ViT: Differential Ordinal Learning Vision Transformer for Cancer Classification in Pathology Images
by: Lee, Ju Cheon, et al.
Published: (2024)
by: Lee, Ju Cheon, et al.
Published: (2024)
SAC-ViT: Semantic-Aware Clustering Vision Transformer with Early Exit
by: Hu, Youbing, et al.
Published: (2025)
by: Hu, Youbing, et al.
Published: (2025)
FastPose-ViT: A Vision Transformer for Real-Time Spacecraft Pose Estimation
by: Ancey, Pierre, et al.
Published: (2025)
by: Ancey, Pierre, et al.
Published: (2025)
Your ViT is Secretly an Image Segmentation Model
by: Kerssies, Tommie, et al.
Published: (2025)
by: Kerssies, Tommie, et al.
Published: (2025)
STRAP-ViT: Segregated Tokens with Randomized -- Transformations for Defense against Adversarial Patches in ViTs
by: Chattopadhyay, Nandish, et al.
Published: (2026)
by: Chattopadhyay, Nandish, et al.
Published: (2026)
Similar Items
-
IMDL-BenCo: A Comprehensive Benchmark and Codebase for Image Manipulation Detection & Localization
by: Ma, Xiaochen, et al.
Published: (2024) -
Mesoscopic Insights: Orchestrating Multi-scale & Hybrid Architecture for Image Manipulation Localization
by: Zhu, Xuekang, et al.
Published: (2024) -
SHAN: Object-Level Privacy Detection via Inference on Scene Heterogeneous Graph
by: Jiang, Zhuohang, et al.
Published: (2024) -
Beyond Visual Appearances: Privacy-sensitive Objects Identification via Hybrid Graph Reasoning
by: Jiang, Zhuohang, et al.
Published: (2024) -
EfficientIML: Efficient High-Resolution Image Manipulation Localization
by: Li, Jinhan, et al.
Published: (2025)