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ViC-MAE: Self-Supervised Representation Learning from Images and Video with Contrastive Masked Autoencoders
We show that visual representations learned under ViC-MAE generalize well to both video and image classification tasks.
Ranked #4 on
Image Classification
on Places365
(using extra training data)
A fast multi-object tracking system using an object detector ensemble
Multiple-Object Tracking (MOT) is of crucial importance for applications such as retail video analytics and video surveillance.
Learning from multivariate discrete sequential data using a restricted Boltzmann machine model
A restricted Boltzmann machine (RBM) is a generative neural-network model with many novel applications such as collaborative filtering and acoustic modeling.
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