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Found 8 papers, 1 papers with code
Improving Food Detection For Images From a Wearable Egocentric Camera
In this paper, we propose an approach to pre-process images collected by the AIM imaging sensor by rejecting extremely blurry images to improve the performance of food detection.
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.
Saliency-Aware Class-Agnostic Food Image Segmentation
Our method uses a pair of eating scene images, one before start eating and one after eating is completed.
Visual Aware Hierarchy Based Food Recognition
Experimental results demonstrate that our system can significantly improve both classification and recognition performance on 4 publicly available datasets and the new VFN dataset.
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 Reflectance Based Method For Shadow Detection and Removal
Shadows are common aspect of images and when left undetected can hinder scene understanding and visual processing.
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.
