Data and its (dis) contents: A survey of dataset development and use in machine learning research
In this work, we survey a breadth of literature that has revealed the limitations of
predominant practices for dataset collection and use in the field of machine learning. We …
predominant practices for dataset collection and use in the field of machine learning. We …
Video description: A survey of methods, datasets, and evaluation metrics
Video description is the automatic generation of natural language sentences that describe
the contents of a given video. It has applications in human-robot interaction, hel** the …
the contents of a given video. It has applications in human-robot interaction, hel** the …
End-to-end learning of visual representations from uncurated instructional videos
Annotating videos is cumbersome, expensive and not scalable. Yet, many strong video
models still rely on manually annotated data. With the recent introduction of the HowTo100M …
models still rely on manually annotated data. With the recent introduction of the HowTo100M …
Deep visual-semantic alignments for generating image descriptions
A Karpathy, L Fei-Fei - Proceedings of the IEEE conference on …, 2015 - cv-foundation.org
We present a model that generates natural language descriptions of images and their
regions. Our approach leverages datasets of images and their sentence descriptions to …
regions. Our approach leverages datasets of images and their sentence descriptions to …
Cross-age lfw: A database for studying cross-age face recognition in unconstrained environments
T Zheng, W Deng, J Hu - ar** and prejudice, interpersonal attraction, etc.) sometimes employ photographs of …
Labeled faces in the wild: A survey
Abstract In 2007, Labeled Faces in the Wild was released in an effort to spur research in
face recognition, specifically for the problem of face verification with unconstrained images …
face recognition, specifically for the problem of face verification with unconstrained images …
[PDF][PDF] Cross-pose lfw: A database for studying cross-pose face recognition in unconstrained environments
T Zheng, W Deng - Bei**g University of Posts and Telecommunications …, 2018 - whdeng.cn
Abstract Labeled Faces in the Wild (LFW) database has been widely utilized as the
benchmark of unconstrained face verification. Recently, due to big data driven machine …
benchmark of unconstrained face verification. Recently, due to big data driven machine …
Learning to separate object sounds by watching unlabeled video
Perceiving a scene most fully requires all the senses. Yet modeling how objects look and
sound is challenging: most natural scenes and events contain multiple objects, and the …
sound is challenging: most natural scenes and events contain multiple objects, and the …
A data-driven approach to cleaning large face datasets
HW Ng, S Winkler - 2014 IEEE international conference on …, 2014 - ieeexplore.ieee.org
Large face datasets are important for advancing face recognition research, but they are
tedious to build, because a lot of work has to go into cleaning the huge amount of raw data …
tedious to build, because a lot of work has to go into cleaning the huge amount of raw data …