Papers Image Manipulation Localization
“Image Manipulation Localization” 태그가 달린 논문 54편 · 필터 해제
IML-ViT: Benchmarking Image Manipulation Localization by Vision Transformer
Advanced image tampering techniques are increasingly challenging the trustworthiness of multimedia, leading to the development of Image Manipulation Localization (IML). But what makes a good IML model? The answer lies in…
BenchmarkingImage ManipulationImage Manipulation LocalizationTriPINet: Tripartite Progressive Integration Network for Image Manipulation Localization
Image manipulation localization aims at distinguishing forged regions from the whole test image. Although many outstanding prior arts have been proposed for this task, there are still two issues that need to be further s…
DecoderImage ForensicsImage ManipulationImage Manipulation LocalizationTruFor: Leveraging all-round clues for trustworthy image forgery detection and localization
In this paper we present TruFor, a forensic framework that can be applied to a large variety of image manipulation methods, from classic cheapfakes to more recent manipulations based on deep learning. We rely on the extr…
AllImage Forgery DetectionImage ManipulationImage Manipulation Detection+1ObjectFormer for Image Manipulation Detection and Localization
Recent advances in image editing techniques have posed serious challenges to the trustworthiness of multimedia data, which drives the research of image tampering detection. In this paper, we propose ObjectFormer to detec…
Image ManipulationImage Manipulation DetectionImage Manipulation LocalizationCMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers
Scene understanding based on image segmentation is a crucial component of autonomous vehicles. Pixel-wise semantic segmentation of RGB images can be advanced by exploiting complementary features from the supplementary mo…
3D Object DetectionAutonomous VehiclesCamouflaged Object SegmentationImage Manipulation Localization+8MVSS-Net: Multi-View Multi-Scale Supervised Networks for Image Manipulation Detection
As manipulating images by copy-move, splicing and/or inpainting may lead to misinterpretation of the visual content, detecting these sorts of manipulations is crucial for media forensics. Given the variety of possible at…
Image ManipulationImage Manipulation DetectionImage Manipulation LocalizationSemantic Segmentation+1Learning JPEG Compression Artifacts for Image Manipulation Detection and Localization
Detecting and localizing image manipulation are necessary to counter malicious use of image editing techniques. Accordingly, it is essential to distinguish between authentic and tampered regions by analyzing intrinsic st…
Image ManipulationImage Manipulation DetectionImage Manipulation LocalizationTBNet:Two-Stream Boundary-aware Network for Generic Image Manipulation Localization
Finding tampered regions in images is a hot research topic in machine learning and computer vision. Although many image manipulation location algorithms have been proposed, most of them only focus on the RGB images with …
Image ManipulationImage Manipulation LocalizationImage Manipulation Detection by Multi-View Multi-Scale Supervision
The key challenge of image manipulation detection is how to learn generalizable features that are sensitive to manipulations in novel data, whilst specific to prevent false alarms on authentic images. Current research em…
Image ManipulationImage Manipulation DetectionImage Manipulation LocalizationSemantic Segmentation+1PSCC-Net: Progressive Spatio-Channel Correlation Network for Image Manipulation Detection and Localization
To defend against manipulation of image content, such as splicing, copy-move, and removal, we develop a Progressive Spatio-Channel Correlation Network (PSCC-Net) to detect and localize image manipulations. PSCC-Net proce…
DecoderImage ManipulationImage Manipulation DetectionImage Manipulation LocalizationSPAN: Spatial Pyramid Attention Network for Image Manipulation Localization
Tehchniques for manipulating images are advancing rapidly; while these are helpful for many useful tasks, they also pose a threat to society with their ability to create believable misinformation. We present a novel, Spa…
Image ManipulationImage Manipulation DetectionImage Manipulation LocalizationMisinformation+1SPN-CNN: Boosting Sensor-Based Source Camera Attribution With Deep Learning
We explore means to advance source camera identification based on sensor noise in a data-driven framework. Our focus is on improving the sensor pattern noise (SPN) extraction from a single image at test time. Where exist…
DenoisingImage ManipulationImage Manipulation LocalizationConstrained R-CNN: A general image manipulation detection model
Recently, deep learning-based models have exhibited remarkable performance for image manipulation detection. However, most of them suffer from poor universality of handcrafted or predetermined features. Meanwhile, they o…
General ClassificationImage ForensicsImage ManipulationImage Manipulation Detection+2ManTra-Net: Manipulation Tracing Network for Detection and Localization of Image Forgeries With Anomalous Features
To fight against real-life image forgery, which commonly involves different types and combined manipulations, we propose a unified deep neural architecture called ManTra-Net. Unlike many existing solutions, ManTra-Ne…
Anomaly DetectionFake Image DetectionImage ForensicsImage Manipulation+2