Label Denoising with Large Ensembles of Heterogeneous Neural Networks

09/12/2018
by   Pavel Ostyakov, et al.
0

Despite recent advances in computer vision based on various convolutional architectures, video understanding remains an important challenge. In this work, we present and discuss a top solution for the large-scale video classification (labeling) problem introduced as a Kaggle competition based on the YouTube-8M dataset. We show and compare different approaches to preprocessing, data augmentation, model architectures, and model combination. Our final model is based on a large ensemble of video- and frame-level models but fits into rather limiting hardware constraints. We apply an approach based on knowledge distillation to deal with noisy labels in the original dataset and the recently developed mixup technique to improve the basic models.

READ FULL TEXT
research
06/14/2017

Deep Learning Methods for Efficient Large Scale Video Labeling

We present a solution to "Google Cloud and YouTube-8M Video Understandin...
research
11/15/2019

Multi-attention Networks for Temporal Localization of Video-level Labels

Temporal localization remains an important challenge in video understand...
research
06/16/2017

The Monkeytyping Solution to the YouTube-8M Video Understanding Challenge

This article describes the final solution of team monkeytyping, who fini...
research
06/26/2017

YouTube-8M Video Understanding Challenge Approach and Applications

This paper introduces the YouTube-8M Video Understanding Challenge hoste...
research
10/27/2019

MOD: A Deep Mixture Model with Online Knowledge Distillation for Large Scale Video Temporal Concept Localization

In this paper, we present and discuss a deep mixture model with online k...
research
12/02/2019

BERT for Large-scale Video Segment Classification with Test-time Augmentation

This paper presents our approach to the third YouTube-8M video understan...
research
06/28/2017

The YouTube-8M Kaggle Competition: Challenges and Methods

We took part in the YouTube-8M Video Understanding Challenge hosted on K...

Please sign up or login with your details

Forgot password? Click here to reset