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Found 6 papers, 2 papers with code
Improving Deep Generative Models on Many-To-One Image-to-Image Translation
We then introduce a new asymmetric framework to improve existing deep generative models on many-to-one image-to-image translation.
Birds' Eye View: Measuring Behavior and Posture of Chickens as a Metric for Their Well-Being
In this research, we represent behavior and posture as a metric to measure chicken well-being.
Comparison and Analysis of Image-to-Image Generative Adversarial Networks: A Survey
In addition to a survey of the models, we also survey the 18 datasets they were trained on and the 9 metrics they were evaluated on.
TeliNet: Classifying CT scan images for COVID-19 diagnosis
COVID-19 has led to hundreds of millions of cases and millions of deaths worldwide since its onset.
Resilience of Autonomous Vehicle Object Category Detection to Universal Adversarial Perturbations
We use Faster-RCNN object detector on images of five different categories: person, car, truck, stop sign and traffic light from the COCO data set, while carefully perturbing the images using Universal Dense Object Suppression algorithm.
Face Detection in Repeated Settings
We present a correlation based face detection algorithm to detect faces in such settings, where we control the location, and leave lighting, pose, and scale uncontrolled.
