Search Results for author:
Found 7 papers, 2 papers with code
Understanding Gender and Racial Disparities in Image Recognition Models
Large scale image classification models trained on top of popular datasets such as Imagenet have shown to have a distributional skew which leads to disparities in prediction accuracies across different subsections of population demographics.
Improving Visual Recognition using Ambient Sound for Supervision
Our brains combine vision and hearing to create a more elaborate interpretation of the world.
Learning From Less Data: A Unified Data Subset Selection and Active Learning Framework for Computer Vision
Supervised machine learning based state-of-the-art computer vision techniques are in general data hungry.
Demystifying Multi-Faceted Video Summarization: Tradeoff Between Diversity,Representation, Coverage and Importance
This paper addresses automatic summarization of videos in a unified manner.
Vis-DSS: An Open-Source toolkit for Visual Data Selection and Summarization
With increasing amounts of visual data being created in the form of videos and images, visual data selection and summarization are becoming ever increasing problems.
Deployment of Customized Deep Learning based Video Analytics On Surveillance Cameras
To our knowledge, this is the first work which provides a comprehensive evaluation of different deep learning models on various real-world customer deployment scenarios of surveillance video analytics.
Multi-Language Identification Using Convolutional Recurrent Neural Network
Language Identification, being an important aspect of Automatic Speaker Recognition has had many changes and new approaches to ameliorate performance over the last decade.
