2.9k citations · 3.8k across the 5 of their papers we have counts for
5 papers
EnsembleNet: End-to-End Optimization of Multi-headed Models
Hanhan Li, Joe Yue-Hei Ng, Paul Natsev
Ensembling is a universally useful approach to boost the performance of machine learning models. However, individual models in an ensemble were traditionally trained independently…
The Kinetics Human Action Video Dataset
Will Kay, Joao Carreira, Karen Simonyan +9
We describe the DeepMind Kinetics human action video dataset. The dataset contains 400 human action classes, with at least 400 video clips for each action. Each clip lasts around 1…
YouTube-8M: A Large-Scale Video Classification Benchmark
Sami Abu-El-Haija, Nisarg Kothari, Joonseok Lee +4
Many recent advancements in Computer Vision are attributed to large datasets. Open-source software packages for Machine Learning and inexpensive commodity hardware have reduced the…
Efficient Large Scale Video Classification
Balakrishnan Varadarajan, George Toderici, Sudheendra Vijayanarasimhan +1
Video classification has advanced tremendously over the recent years. A large part of the improvements in video classification had to do with the work done by the image classificat…
Tracking Large-Scale Video Remix in Real-World Events
Lexing Xie, Apostol Natsev, Xuming He +3
Social information networks, such as YouTube, contains traces of both explicit online interaction (such as "like", leaving a comment, or subscribing to video feed), and latent inte…