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Found 13 papers, 6 papers with code
UPSCALE: Unconstrained Channel Pruning
However, for multi-branch segments of a model, channel removal can introduce inference-time memory copies.
Generative Multiplane Images: Making a 2D GAN 3D-Aware
What is really needed to make an existing 2D GAN 3D-aware?
Splicing Detection and Localization In Satellite Imagery Using Conditional GANs
In this paper, we describe the use of a Conditional Generative Adversarial Network (cGAN) to identify the presence of such spliced forgeries within satellite images.
Deepfakes Detection with Automatic Face Weighting
Altered and manipulated multimedia is increasingly present and widely distributed via social media platforms.
Learning eating environments through scene clustering
The variation in the number of clusters and images captured by different individual makes this a very challenging problem.
A Utility-Preserving GAN for Face Obscuration
From TV news to Google StreetView, face obscuration has been used for privacy protection.
We Need No Pixels: Video Manipulation Detection Using Stream Descriptors
Manipulating video content is easier than ever.
Robustness Analysis of Face Obscuration
Face obscuration is needed by law enforcement and mass media outlets to guarantee privacy.
Locating Objects Without Bounding Boxes
In these networks, the training procedure usually requires providing bounding boxes or the maximum number of expected objects.
Ranked #1 on
Object Localization
on Mall
A Counter-Forensic Method for CNN-Based Camera Model Identification
We examine in this paper the problem of identifying the camera model or type that was used to take an image and that can be spoofed.
Reliability Map Estimation For CNN-Based Camera Model Attribution
This refers to the problem of detecting which camera model has been used to acquire an image by only exploiting pixel information.
Satellite Image Forgery Detection and Localization Using GAN and One-Class Classifier
Specifically, we consider the scenario in which pixels within a region of a satellite image are replaced to add or remove an object from the scene.
First Steps Toward Camera Model Identification with Convolutional Neural Networks
Detecting the camera model used to shoot a picture enables to solve a wide series of forensic problems, from copyright infringement to ownership attribution.
